{"id":"W2114329998","doi":"10.3917/riges.264.0042","title":"Retraite anticipée ou retraite normale?","year":2001,"lang":"fr","type":"article","venue":"Gestion","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Political science; Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003517497,0.0002310918,0.0004044786,0.000626076,0.0008083443,0.002232025,0.0006275059,0.0008768728,0.008142947],"category_scores_gemma":[0.01885861,0.0002267653,0.0005721655,0.0005951285,0.001885772,0.001303598,0.001102042,0.001473911,0.000506756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167958,"about_ca_system_score_gemma":0.002265929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00946223,"about_ca_topic_score_gemma":0.01146725,"domain_scores_codex":[0.997781,0.0009596201,0.0001445372,0.0002593351,0.0004648966,0.0003906574],"domain_scores_gemma":[0.9865101,0.006358051,0.004568687,0.000326812,0.001070844,0.001165457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007958828,0.0006959207,0.8607635,0.0008278548,0.0002068238,0.0006819753,0.04470124,0.0005136327,0.000835939,0.00497928,0.001602597,0.08339524],"study_design_scores_gemma":[0.00003436455,0.0007502148,0.9264001,0.0006032099,0.0001343665,0.000571643,0.05550106,0.0006807852,0.0004760422,0.003360755,0.01143696,0.00005053252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858587,0.002420953,0.0005294102,0.002138359,0.00006863001,0.00003730822,0.00009399596,0.00001013212,0.008842338],"genre_scores_gemma":[0.996797,0.0009375222,0.0003155626,0.0002558952,0.00002570917,0.00002614685,0.00005147907,0.000003458517,0.001587302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00946223,"threshold_uncertainty_score":0.02724087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2078947297649616,"score_gpt":0.4030243442525637,"score_spread":0.1951296144876021,"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."}}