{"id":"W4225498430","doi":"10.4000/statsoc.550","title":"L’équité de l’apprentissage machine en assurance","year":2022,"lang":"fr","type":"article","venue":"Statistique et société","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Psychology; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06541231,0.0008842557,0.00151802,0.004733113,0.002694227,0.01430725,0.002495835,0.005024736,0.01094544],"category_scores_gemma":[0.2164799,0.0007817065,0.001364099,0.004804141,0.01872077,0.01889918,0.006802159,0.005748799,0.001560942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066717,"about_ca_system_score_gemma":0.00555673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01142876,"about_ca_topic_score_gemma":0.004975577,"domain_scores_codex":[0.8989943,0.05850601,0.005011763,0.01061646,0.02482277,0.002048604],"domain_scores_gemma":[0.7512636,0.1829372,0.01975451,0.02039386,0.02308135,0.002569526],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002931903,0.00008501881,0.01666674,0.0006254887,0.0001977233,0.0002049259,0.005399431,0.003449974,0.000466015,0.8790386,0.004307923,0.08926495],"study_design_scores_gemma":[0.00006611003,0.0005265891,0.02123752,0.002226048,0.0002244921,0.001707003,0.004608511,0.01446195,0.001952552,0.8206221,0.1321976,0.0001695515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.157496,0.04622721,0.3847617,0.1774007,0.002297668,0.0002773436,0.00135921,0.0003472483,0.2298329],"genre_scores_gemma":[0.8818717,0.009655929,0.07353684,0.006985186,0.001645475,0.0004476707,0.0003543934,0.0002500594,0.02525277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9345877,"threshold_uncertainty_score":0.3459375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363627819393679,"score_gpt":0.4442962151282594,"score_spread":0.4106599369343226,"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."}}