{"id":"W4310213237","doi":"10.14428/rqj2021.09.01.03","title":"Trajectoire des taux de mortalité aux âges extrêmes de la vie","year":2022,"lang":"fr","type":"article","venue":"Revue Quetelet + Quetelet journal/Revue Quetelet + Quetelet Journal","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":"Humanities; Political science; Gompertz function; Art; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001838473,0.0007196338,0.0007237694,0.001023762,0.0005138992,0.001220066,0.000891207,0.0009988433,0.009528046],"category_scores_gemma":[0.008157606,0.0004887895,0.002433487,0.0007016539,0.000757391,0.0009487583,0.0008281375,0.001614353,0.001656577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173002,"about_ca_system_score_gemma":0.001644202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04951952,"about_ca_topic_score_gemma":0.04104209,"domain_scores_codex":[0.9993805,0.0001858398,0.00002084484,0.0002554283,0.00007300934,0.0000843458],"domain_scores_gemma":[0.9975579,0.001522244,0.0003198834,0.0001997618,0.0003026075,0.00009759708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008741862,0.0001293495,0.2283466,0.00100174,0.0007829301,0.0005080281,0.002404163,0.6659084,0.01009885,0.02498959,0.003737074,0.061219],"study_design_scores_gemma":[0.0001253414,0.001349188,0.4171686,0.0008562218,0.0007650487,0.001109482,0.002701338,0.4865484,0.006507772,0.03627859,0.04623032,0.0003597005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8222455,0.004145731,0.1477248,0.001572642,0.0001818398,0.0001152065,0.008644252,0.0005725567,0.0147975],"genre_scores_gemma":[0.9581487,0.001683402,0.02090595,0.0001814847,0.0000290421,0.0001995026,0.004077562,0.0001342477,0.01464015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04951952,"threshold_uncertainty_score":0.09846258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670332608454738,"score_gpt":0.3136930333723797,"score_spread":0.2869897072878324,"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."}}