Datasets:
File size: 5,539 Bytes
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"methodology": "n=1 per cell; spread = max(mean) - min(mean) across models; CV = coefficient of variation of model means; eta2 = eta-squared; omega2 = omega-squared (less biased)",
"tiers": {
"Tier 1 (excellent)": [
"adv_character_break_bait_07"
],
"Tier 2 (good)": [
"adv_genre_shift_08",
"adv_subtle_ooc_06",
"adv_contradictory_lore_02",
"adv_impossible_physics_04"
],
"Tier 3 (moderate)": [
"adv_agency_bait_01",
"adv_time_pressure_05",
"adv_passive_user_03"
],
"Tier 4 (poor)": []
},
"recommendations": [
"All seeds provide meaningful discrimination"
],
"seeds": [
{
"seed": "adv_character_break_bait_07",
"spread": 0.7,
"cv": 0.0574,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.3571,
"best_model": "claude_sonnet_4_5",
"best_score": 4.5,
"worst_model": "mistral_small_creative",
"worst_score": 3.8,
"scores": {
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"gpt_4_1": 4.5,
"gemini_2_5_flash": 4.2,
"deepseek_v3_2": 4.5,
"glm_4_7": 4.5,
"qwen3_5_flash": 4.5,
"mistral_small_creative": 3.8
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 1 (excellent)"
},
{
"seed": "adv_genre_shift_08",
"spread": 0.5,
"cv": 0.0348,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.2714,
"best_model": "claude_sonnet_4_5",
"best_score": 4.6,
"worst_model": "mistral_small_creative",
"worst_score": 4.1,
"scores": {
"claude_sonnet_4_5": 4.6,
"gpt_4_1": 4.3,
"gemini_2_5_flash": 4.2,
"deepseek_v3_2": 4.3,
"glm_4_7": 4.2,
"qwen3_5_flash": 4.2,
"mistral_small_creative": 4.1
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 2 (good)"
},
{
"seed": "adv_subtle_ooc_06",
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"cv": 0.0385,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.3571,
"best_model": "claude_sonnet_4_5",
"best_score": 4.7,
"worst_model": "gemini_2_5_flash",
"worst_score": 4.2,
"scores": {
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"gemini_2_5_flash": 4.2,
"deepseek_v3_2": 4.3,
"glm_4_7": 4.2,
"qwen3_5_flash": 4.3,
"mistral_small_creative": 4.3
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 2 (good)"
},
{
"seed": "adv_contradictory_lore_02",
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"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.2571,
"best_model": "deepseek_v3_2",
"best_score": 4.5,
"worst_model": "gemini_2_5_flash",
"worst_score": 4.1,
"scores": {
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"gpt_4_1": 4.3,
"gemini_2_5_flash": 4.1,
"deepseek_v3_2": 4.5,
"glm_4_7": 4.2,
"qwen3_5_flash": 4.2,
"mistral_small_creative": 4.3
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 2 (good)"
},
{
"seed": "adv_impossible_physics_04",
"spread": 0.4,
"cv": 0.0262,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.4286,
"best_model": "glm_4_7",
"best_score": 4.6,
"worst_model": "gpt_4_1",
"worst_score": 4.2,
"scores": {
"claude_sonnet_4_5": 4.5,
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"gemini_2_5_flash": 4.4,
"deepseek_v3_2": 4.5,
"glm_4_7": 4.6,
"qwen3_5_flash": 4.4,
"mistral_small_creative": 4.4
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 2 (good)"
},
{
"seed": "adv_agency_bait_01",
"spread": 0.3,
"cv": 0.0241,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.2714,
"best_model": "claude_sonnet_4_5",
"best_score": 4.5,
"worst_model": "deepseek_v3_2",
"worst_score": 4.2,
"scores": {
"claude_sonnet_4_5": 4.5,
"gpt_4_1": 4.3,
"gemini_2_5_flash": 4.3,
"deepseek_v3_2": 4.2,
"glm_4_7": 4.2,
"qwen3_5_flash": 4.2,
"mistral_small_creative": 4.2
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 3 (moderate)"
},
{
"seed": "adv_time_pressure_05",
"spread": 0.3,
"cv": 0.0241,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.3571,
"best_model": "glm_4_7",
"best_score": 4.6,
"worst_model": "claude_sonnet_4_5",
"worst_score": 4.3,
"scores": {
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"gpt_4_1": 4.3,
"gemini_2_5_flash": 4.3,
"deepseek_v3_2": 4.4,
"glm_4_7": 4.6,
"qwen3_5_flash": 4.3,
"mistral_small_creative": 4.3
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 3 (moderate)"
},
{
"seed": "adv_passive_user_03",
"spread": 0.2,
"cv": 0.0168,
"eta_sq": 1.0,
"omega_sq": 1.0,
"grand_mean": 4.1714,
"best_model": "gpt_4_1",
"best_score": 4.3,
"worst_model": "glm_4_7",
"worst_score": 4.1,
"scores": {
"claude_sonnet_4_5": 4.2,
"gpt_4_1": 4.3,
"gemini_2_5_flash": 4.2,
"deepseek_v3_2": 4.2,
"glm_4_7": 4.1,
"qwen3_5_flash": 4.1,
"mistral_small_creative": 4.1
},
"n_models": 7,
"n_sessions": 7,
"tier": "Tier 3 (moderate)"
}
]
} |