{"id":"W4390022051","doi":"10.7202/1106845ar","title":"La Mutuelle des municipalités du Québec - une réponse au déséquilibre","year":2023,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École Nationale d'Administration Publique","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008830774,0.0002401471,0.0002713726,0.001294143,0.004543868,0.003942662,0.0007417974,0.0004485469,0.01134933],"category_scores_gemma":[0.002904612,0.000211082,0.0002122238,0.003411162,0.001592434,0.0009341701,0.001345001,0.0006551919,0.0004570039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04840224,"about_ca_system_score_gemma":0.03953375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846947,"about_ca_topic_score_gemma":0.9950615,"domain_scores_codex":[0.9990821,0.0001443656,0.00002751836,0.0001479472,0.0002963602,0.0003017677],"domain_scores_gemma":[0.9979918,0.0002294375,0.0002912808,0.0001413193,0.0009640832,0.0003820324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002403091,0.0001479035,0.5274588,0.0003645696,0.0002162103,0.0008395038,0.07359032,0.005053261,0.002412914,0.121583,0.03437027,0.2337229],"study_design_scores_gemma":[0.00001281661,0.00006096722,0.713526,0.0002013705,0.00005702977,0.00009469572,0.04081043,0.001697449,0.0005461651,0.001669477,0.2412822,0.00004153228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9211347,0.001686542,0.001846712,0.004029541,0.00003523173,0.0001514584,0.003459777,0.00009822582,0.0675578],"genre_scores_gemma":[0.9556156,0.0005536159,0.000893031,0.0001548101,0.000005145328,0.00005346196,0.0008172159,0.00001577395,0.04189141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04840224,"threshold_uncertainty_score":0.3511845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06374521099045524,"score_gpt":0.3422534957379287,"score_spread":0.2785082847474735,"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."}}