{"id":"W637783960","doi":"10.7202/010191ar","title":"Les programmes d’incitation à la retraite anticipée (PIRA) : stratégies des entreprises et options individuelles","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008046231,0.0004074803,0.0003203026,0.001199907,0.00340279,0.00173259,0.00152764,0.001223996,0.00800388],"category_scores_gemma":[0.011855,0.0002104147,0.0003700213,0.001100113,0.001440274,0.001504776,0.00338671,0.001974956,0.0006847196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00650856,"about_ca_system_score_gemma":0.02583808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08987442,"about_ca_topic_score_gemma":0.2770739,"domain_scores_codex":[0.9965425,0.002052455,0.0001109527,0.0002002127,0.0003929697,0.0007008766],"domain_scores_gemma":[0.9904487,0.003741526,0.001323264,0.000333359,0.0009171677,0.003236022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003934644,0.001439112,0.0834739,0.00274893,0.00009959948,0.0008473265,0.05252144,0.001622457,0.001110598,0.02104942,0.01660286,0.8180909],"study_design_scores_gemma":[0.0001757034,0.002814502,0.4078471,0.01049006,0.0002161148,0.001533075,0.1397109,0.001932183,0.001730266,0.01395321,0.4194008,0.0001960931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6479779,0.04849923,0.01865354,0.1216684,0.0009228458,0.001708767,0.000603709,0.0003578605,0.1596078],"genre_scores_gemma":[0.9275388,0.0168235,0.01813092,0.004456206,0.0002392492,0.001173734,0.0002351773,0.00004158223,0.03136079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9101256,"threshold_uncertainty_score":0.1787026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118034762604984,"score_gpt":0.38124584690033,"score_spread":0.2694423706398316,"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."}}