{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.003153383,0.0005016852,0.000694059,0.0005061998,0.002413384,0.00003762225,0.000381409,0.001615849,0.000128179],"category_scores_gemma":[0.003096318,0.0005489999,0.0002623684,0.001519969,0.003711381,0.0003314928,0.00004042475,0.001709035,0.00009152985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259052,"about_ca_system_score_gemma":0.00123802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1501196,"about_ca_topic_score_gemma":0.08196411,"domain_scores_codex":[0.9919741,0.003711542,0.001175795,0.0006844333,0.0002157119,0.002238425],"domain_scores_gemma":[0.9950171,0.002131866,0.0005117597,0.000625002,0.0003508159,0.001363485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009596643,0.0003200391,0.6121732,0.0006664871,0.00005401834,0.00003833648,0.0119988,0.0001280206,0.0001294445,0.2545089,0.04676269,0.07312408],"study_design_scores_gemma":[0.0003906812,0.0002407898,0.6369871,0.000312916,0.0001237188,0.00004766362,0.002981239,0.000352302,0.000007912664,0.3248527,0.03339782,0.0003050974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679331,0.05209845,0.05960264,0.007187513,0.0006256319,0.001456988,0.0005129439,0.0004279401,0.01015481],"genre_scores_gemma":[0.9199053,0.01255176,0.05760298,0.007794098,0.0005109936,0.0002964891,0.0002528233,0.00006225923,0.001023279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07281898,"threshold_uncertainty_score":0.9996961,"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."}}