{"id":"W71456638","doi":"10.7202/600490ar","title":"Vérification de deux méthodes d’estimation indirecte de la mortalité","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine","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"],"consensus_categories":["sts"],"category_scores_codex":[0.005038221,0.0005687178,0.0005487069,0.00101535,0.001896208,0.0002177119,0.0008580285,0.001043848,0.0001022892],"category_scores_gemma":[0.0007245879,0.00070883,0.000654258,0.003933409,0.0068632,0.0007018818,0.00005449453,0.0009524013,0.00007801771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033228,"about_ca_system_score_gemma":0.001061612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0555097,"about_ca_topic_score_gemma":0.01877276,"domain_scores_codex":[0.9927475,0.003101829,0.000797203,0.0008327419,0.0009213063,0.001599428],"domain_scores_gemma":[0.9971089,0.0006741213,0.000550731,0.0007847318,0.000236018,0.0006454967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004828621,0.0005836386,0.7319309,0.0002558808,0.000506934,0.0003062451,0.05075974,0.001028854,0.0002395158,0.171533,0.01364405,0.02916305],"study_design_scores_gemma":[0.0007300132,0.0001026733,0.851503,0.000178235,0.0005484051,0.0001256115,0.005958975,0.002493042,0.0003250942,0.03123904,0.1057625,0.001033463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345724,0.01557286,0.0157181,0.001565036,0.001054771,0.0008004947,0.00006761219,0.0004538469,0.03019487],"genre_scores_gemma":[0.9491319,0.02827968,0.01805835,0.001201898,0.000526185,0.0002378757,0.00005812934,0.00009449848,0.00241149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402939,"threshold_uncertainty_score":0.9995363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812279071841855,"score_gpt":0.2943601455419886,"score_spread":0.27623735482357,"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."}}