{"id":"W2031337003","doi":"10.7202/600811ar","title":"Application des tests statistiques à des populations exhaustives : l’exemple de la mortalité","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Geography; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0496912,0.0008934371,0.002286615,0.004518346,0.001395811,0.001959013,0.001560761,0.001501573,0.003769217],"category_scores_gemma":[0.2335651,0.0003456186,0.002386902,0.004848144,0.002256904,0.002910589,0.002090121,0.002073377,0.0002803574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008193479,"about_ca_system_score_gemma":0.001501097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096317,"about_ca_topic_score_gemma":0.009845207,"domain_scores_codex":[0.9212749,0.06233679,0.003055099,0.005708047,0.006450943,0.001174119],"domain_scores_gemma":[0.6138631,0.3628728,0.00872308,0.01025793,0.003410376,0.0008726846],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001582496,0.0003564306,0.6315222,0.001589098,0.01090065,0.002123522,0.008107301,0.03449951,0.002656803,0.03056107,0.004521419,0.2715794],"study_design_scores_gemma":[0.0002223633,0.005879142,0.7061608,0.0008783623,0.002248929,0.002464437,0.01061898,0.1552967,0.003969348,0.07623085,0.03578614,0.0002438992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368645,0.00395812,0.2430659,0.002144163,0.0006647758,0.0005518614,0.002664906,0.000344108,0.009741672],"genre_scores_gemma":[0.9527115,0.0006322922,0.04271136,0.0002751325,0.0003807964,0.000684631,0.0008517141,0.0000494253,0.001703189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9503088,"threshold_uncertainty_score":0.2627953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419554669222681,"score_gpt":0.426355997153858,"score_spread":0.3821604504616312,"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."}}