{"id":"W2033164318","doi":"10.3166/ria.19.281-288","title":"Similarité en intension versus similarité en extension. A la croisée de l'informatique et du théâtre","year":2005,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Intension; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005811708,0.0003670003,0.0005240371,0.003161777,0.001823619,0.008257013,0.001188249,0.001561632,0.01522696],"category_scores_gemma":[0.04479428,0.0002874577,0.0007090126,0.003693809,0.009688472,0.01422551,0.004153273,0.002319631,0.001264351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004270638,"about_ca_system_score_gemma":0.001055484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004098024,"about_ca_topic_score_gemma":0.004034304,"domain_scores_codex":[0.9934098,0.00281666,0.0003771843,0.001209451,0.001741394,0.0004454451],"domain_scores_gemma":[0.9809542,0.01073017,0.002064044,0.002131191,0.002847077,0.001273318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000324306,0.00006229365,0.004558114,0.0003015297,0.00006629696,0.000117495,0.006164032,0.0007986475,0.001271287,0.9060218,0.004025605,0.07628862],"study_design_scores_gemma":[0.0001153638,0.0002177944,0.02235929,0.0003737614,0.0001435082,0.001423181,0.009929263,0.004920647,0.002639277,0.8013172,0.1564579,0.0001027514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2661607,0.01963324,0.1109703,0.01395813,0.0009986289,0.0001329043,0.0006053381,0.0003293857,0.5872113],"genre_scores_gemma":[0.9630331,0.002683812,0.01324486,0.0004542361,0.0003452416,0.00006212106,0.0002279622,0.0001175438,0.01983123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01522696,"threshold_uncertainty_score":0.05093926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388065006257442,"score_gpt":0.3233771598520721,"score_spread":0.1845706592263279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}