{"id":"W2091779290","doi":"10.7202/600842ar","title":"L’influence des réformes législatives sur le nombre de divorces : une analyse comparative","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Social Policies and Family","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.004323372,0.0002022079,0.0005659574,0.002936174,0.003086051,0.001941264,0.0009986236,0.0005877645,0.009562135],"category_scores_gemma":[0.0129864,0.0003019281,0.0003966945,0.003769745,0.001909051,0.0006075215,0.001064424,0.001266256,0.0004765313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01984784,"about_ca_system_score_gemma":0.02117239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.866276,"about_ca_topic_score_gemma":0.9248816,"domain_scores_codex":[0.9949427,0.0009159055,0.0001730268,0.0003536087,0.001906747,0.001707931],"domain_scores_gemma":[0.9818761,0.006085404,0.004585304,0.0007736561,0.004681233,0.001998363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007476789,0.0002257699,0.8241425,0.0004477053,0.0002470085,0.0004352175,0.03146659,0.002018032,0.002355779,0.02534353,0.004813033,0.1077572],"study_design_scores_gemma":[0.00001320309,0.00008048203,0.9710822,0.00008783946,0.00002767726,0.00003709133,0.006258048,0.000172939,0.0003936965,0.0001398972,0.02169066,0.00001622432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686724,0.0047721,0.0003647248,0.00289403,0.00004260176,0.00006380053,0.0009086084,0.00001636834,0.02226541],"genre_scores_gemma":[0.9851536,0.0023389,0.0002049374,0.0003090868,0.00004799876,0.00004782841,0.0004674643,0.00001088357,0.01141917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133724,"threshold_uncertainty_score":0.2690229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383033230762758,"score_gpt":0.2882006958296393,"score_spread":0.2643703635220117,"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."}}