{"id":"W4399178582","doi":"10.4000/11qwe","title":"Enjeux du système de revenus de retraite au Canada et au Québec","year":2024,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Musée de la Civilisation","funders":"","keywords":"Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002030759,0.0003197594,0.0005014401,0.0001639823,0.0008108468,0.0001406042,0.0003606969,0.0004862216,0.001650197],"category_scores_gemma":[0.0009520937,0.0003701324,0.0006434601,0.0001817335,0.0002139213,0.0003607674,0.0001765842,0.001167393,0.000194683],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02152248,"about_ca_system_score_gemma":0.036559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988241,"about_ca_topic_score_gemma":0.9997108,"domain_scores_codex":[0.9957185,0.001755206,0.0009872504,0.0004506929,0.0001045404,0.0009838117],"domain_scores_gemma":[0.9976594,0.001136266,0.0002366561,0.00036765,0.0002031065,0.0003969144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003556988,0.000265108,0.08463079,0.01461475,0.001070192,0.0004982069,0.2623701,0.00005721649,0.00001827948,0.2226928,0.3712373,0.04250968],"study_design_scores_gemma":[0.0004421598,0.0002438065,0.07496649,0.03776943,0.0005809332,0.00007342213,0.03815324,0.0009315843,0.00006529581,0.03172643,0.8142335,0.000813702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7570985,0.05092743,0.009856726,0.1128236,0.0128484,0.0009000827,0.0009883865,0.0005042292,0.05405262],"genre_scores_gemma":[0.9383743,0.0008271686,0.0004779855,0.003010964,0.003299249,0.0001750998,0.00005328868,0.00008581364,0.05369617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4429962,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969683209602916,"score_gpt":0.3820109797929322,"score_spread":0.3223141476969031,"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."}}