const chartData = {
  "claude-opus-4-7": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        16.42,
        16.85,
        17.76,
        15.81,
        17.04,
        15.35,
        14.62,
        13.15,
        6.88,
        9.46,
        13.23,
        13.46,
        13.46,
        17.81,
        8.46,
        12.77,
        15.92
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        0.24,
        0.23,
        0.13,
        0.26,
        0.12,
        0.31,
        -0.1,
        -0.24,
        -0.23,
        -0.26,
        0.12,
        0.14,
        -0.07,
        0.06,
        -0.17,
        0.48,
        0.43
      ]
    },
    "strengths": [
      {
        "criterion": "conversational",
        "relativeScore": 1.0
      },
      {
        "criterion": "humanlike",
        "relativeScore": 0.79
      },
      {
        "criterion": "message_tailoring",
        "relativeScore": 0.42
      },
      {
        "criterion": "social_dexterity",
        "relativeScore": 0.3
      },
      {
        "criterion": "demonstrated_empathy",
        "relativeScore": 0.24
      }
    ],
    "weaknesses": [
      {
        "criterion": "compliant",
        "relativeScore": -1.0
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": -0.92
      },
      {
        "criterion": "moralising",
        "relativeScore": -0.88
      },
      {
        "criterion": "reactive",
        "relativeScore": -0.7
      },
      {
        "criterion": "boundary_setting",
        "relativeScore": -0.52
      }
    ]
  },
  "gpt-5.5": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        15.88,
        16.5,
        17.67,
        15.23,
        17.07,
        14.46,
        15.77,
        14.38,
        8.46,
        9.65,
        13.38,
        13.23,
        13.58,
        17.69,
        8.62,
        10.42,
        13.69
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        0.05,
        0.17,
        0.1,
        0.09,
        0.14,
        0.04,
        0.37,
        0.27,
        0.3,
        -0.24,
        0.22,
        -0.03,
        -0.02,
        0.01,
        -0.17,
        -0.26,
        -0.3
      ]
    },
    "strengths": [
      {
        "criterion": "boundary_setting",
        "relativeScore": 1.0
      },
      {
        "criterion": "moralising",
        "relativeScore": 0.72
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": 0.61
      },
      {
        "criterion": "challenging",
        "relativeScore": 0.43
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": 0.29
      }
    ],
    "weaknesses": [
      {
        "criterion": "humanlike",
        "relativeScore": -1.0
      },
      {
        "criterion": "conversational",
        "relativeScore": -0.84
      },
      {
        "criterion": "compliant",
        "relativeScore": -0.76
      },
      {
        "criterion": "reactive",
        "relativeScore": -0.53
      },
      {
        "criterion": "warmth",
        "relativeScore": -0.17
      }
    ]
  },
  "gpt-5.4": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        15.77,
        16.62,
        17.84,
        15.19,
        17.18,
        14.5,
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        14.27,
        7.58,
        10.19,
        12.88,
        12.15,
        13.65,
        17.96,
        8.65,
        10.46,
        14.31
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        0.02,
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        0.19,
        0.11,
        0.2,
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        0.26,
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        0.04,
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        0.04,
        0.16,
        -0.17,
        -0.27,
        -0.12
      ]
    },
    "strengths": [
      {
        "criterion": "boundary_setting",
        "relativeScore": 1.0
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": 0.65
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": 0.57
      },
      {
        "criterion": "emotional_reasoning",
        "relativeScore": 0.44
      },
      {
        "criterion": "depth_of_insight",
        "relativeScore": 0.4
      }
    ],
    "weaknesses": [
      {
        "criterion": "warmth",
        "relativeScore": -1.0
      },
      {
        "criterion": "conversational",
        "relativeScore": -0.68
      },
      {
        "criterion": "reactive",
        "relativeScore": -0.41
      },
      {
        "criterion": "humanlike",
        "relativeScore": -0.3
      },
      {
        "criterion": "compliant",
        "relativeScore": -0.17
      }
    ]
  },
  "gpt-5.2": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        15.35,
        16.15,
        17.4,
        14.81,
        16.64,
        14.04,
        15.54,
        14.5,
        7.31,
        10.54,
        13.04,
        12.31,
        13.65,
        18.0,
        8.88,
        10.19,
        13.54
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        -0.12,
        0.07,
        0.04,
        -0.03,
        0.03,
        -0.07,
        0.34,
        0.29,
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        0.04,
        0.18,
        -0.31,
        0.01,
        0.17,
        -0.05,
        -0.29,
        -0.27
      ]
    },
    "strengths": [
      {
        "criterion": "boundary_setting",
        "relativeScore": 1.0
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": 0.81
      },
      {
        "criterion": "challenging",
        "relativeScore": 0.43
      },
      {
        "criterion": "analytical",
        "relativeScore": 0.38
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": 0.13
      }
    ],
    "weaknesses": [
      {
        "criterion": "warmth",
        "relativeScore": -1.0
      },
      {
        "criterion": "conversational",
        "relativeScore": -0.91
      },
      {
        "criterion": "humanlike",
        "relativeScore": -0.83
      },
      {
        "criterion": "demonstrated_empathy",
        "relativeScore": -0.33
      },
      {
        "criterion": "moralising",
        "relativeScore": -0.23
      }
    ]
  },
  "claude-sonnet-4-6": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        16.15,
        16.0,
        17.29,
        15.19,
        16.64,
        14.65,
        13.77,
        13.35,
        6.08,
        9.88,
        12.58,
        13.77,
        13.27,
        17.46,
        8.88,
        11.31,
        15.35
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        0.21,
        0.1,
        -0.02,
        0.2,
        0.03,
        0.22,
        -0.25,
        -0.12,
        -0.48,
        -0.22,
        -0.05,
        0.22,
        -0.1,
        -0.07,
        -0.15,
        0.15,
        0.33
      ]
    },
    "strengths": [
      {
        "criterion": "humanlike",
        "relativeScore": 1.0
      },
      {
        "criterion": "message_tailoring",
        "relativeScore": 0.6
      },
      {
        "criterion": "warmth",
        "relativeScore": 0.58
      },
      {
        "criterion": "demonstrated_empathy",
        "relativeScore": 0.56
      },
      {
        "criterion": "social_dexterity",
        "relativeScore": 0.52
      }
    ],
    "weaknesses": [
      {
        "criterion": "moralising",
        "relativeScore": -1.0
      },
      {
        "criterion": "boundary_setting",
        "relativeScore": -0.38
      },
      {
        "criterion": "compliant",
        "relativeScore": -0.3
      },
      {
        "criterion": "reactive",
        "relativeScore": -0.19
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": -0.13
      }
    ]
  },
  "claude-opus-4-6": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        15.62,
        15.73,
        17.33,
        14.73,
        16.62,
        14.23,
        14.27,
        13.62,
        8.81,
        9.85,
        13.81,
        14.04,
        13.38,
        17.42,
        9.42,
        11.58,
        14.69
      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
        0.03,
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        0.02,
        0.04,
        0.05,
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        0.25,
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        0.31,
        -0.02,
        -0.09,
        0.01,
        0.24,
        0.16
      ]
    },
    "strengths": [
      {
        "criterion": "challenging",
        "relativeScore": 1.0
      },
      {
        "criterion": "warmth",
        "relativeScore": 0.89
      },
      {
        "criterion": "moralising",
        "relativeScore": 0.67
      },
      {
        "criterion": "conversational",
        "relativeScore": 0.61
      },
      {
        "criterion": "humanlike",
        "relativeScore": 0.36
      }
    ],
    "weaknesses": [
      {
        "criterion": "compliant",
        "relativeScore": -1.0
      },
      {
        "criterion": "boundary_setting",
        "relativeScore": -0.46
      },
      {
        "criterion": "analytical",
        "relativeScore": -0.44
      },
      {
        "criterion": "validating",
        "relativeScore": -0.17
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": -0.1
      }
    ]
  },
  "gpt-5.1-2025-11-13": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
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        14.69,
        16.29,
        13.92,
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        13.19,
        7.15,
        11.58,
        11.69,
        13.0,
        14.31,
        17.46,
        9.15,
        10.5,
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      ]
    },
    "relativeRadarLog": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
        "compliant",
        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
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        -0.17,
        -0.15
      ]
    },
    "strengths": [
      {
        "criterion": "compliant",
        "relativeScore": 1.0
      },
      {
        "criterion": "validating",
        "relativeScore": 0.8
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": 0.28
      },
      {
        "criterion": "social_dexterity",
        "relativeScore": 0.22
      },
      {
        "criterion": "boundary_setting",
        "relativeScore": 0.11
      }
    ],
    "weaknesses": [
      {
        "criterion": "challenging",
        "relativeScore": -1.0
      },
      {
        "criterion": "moralising",
        "relativeScore": -0.94
      },
      {
        "criterion": "conversational",
        "relativeScore": -0.31
      },
      {
        "criterion": "humanlike",
        "relativeScore": -0.25
      },
      {
        "criterion": "depth_of_insight",
        "relativeScore": -0.23
      }
    ]
  },
  "deepseek-ai/DeepSeek-V4-Pro": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
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        "safety_conscious",
        "moralising",
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        "challenging",
        "warmth",
        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
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        15.04,
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        14.5,
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        11.31,
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        14.38,
        13.69,
        17.58,
        10.23,
        12.04,
        15.23
      ]
    },
    "relativeRadarLog": {
      "labels": [
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        "pragmatic_ei",
        "depth_of_insight",
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        "safety_conscious",
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        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
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        0.13,
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      ]
    },
    "strengths": [
      {
        "criterion": "warmth",
        "relativeScore": 1.0
      },
      {
        "criterion": "conversational",
        "relativeScore": 0.96
      },
      {
        "criterion": "humanlike",
        "relativeScore": 0.79
      },
      {
        "criterion": "compliant",
        "relativeScore": 0.57
      },
      {
        "criterion": "reactive",
        "relativeScore": 0.35
      }
    ],
    "weaknesses": [
      {
        "criterion": "boundary_setting",
        "relativeScore": -1.0
      },
      {
        "criterion": "safety_conscious",
        "relativeScore": -0.72
      },
      {
        "criterion": "challenging",
        "relativeScore": -0.56
      },
      {
        "criterion": "pragmatic_ei",
        "relativeScore": -0.36
      },
      {
        "criterion": "emotional_reasoning",
        "relativeScore": -0.11
      }
    ]
  },
  "claude-opus-4-5-20251101": {
    "absoluteRadar": {
      "labels": [
        "demonstrated_empathy",
        "pragmatic_ei",
        "depth_of_insight",
        "social_dexterity",
        "emotional_reasoning",
        "message_tailoring",
        "boundary_setting",
        "safety_conscious",
        "moralising",
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        "validating",
        "analytical",
        "reactive",
        "conversational",
        "humanlike"
      ],
      "values": [
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        10.38,
        12.54,
        13.62,
        13.12,
        16.73,
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        11.85,
        14.65
      ]
    },
    "relativeRadarLog": {
      "labels": [
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        "pragmatic_ei",
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      ],
      "values": [
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      ]
    },
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