{"id":"W3036348157","doi":"10.7202/1069005ar","title":"Du retrait anticipé au prolongement des carrières : institutionnalisation et standardisation des fins de carrière en Belgique1","year":2020,"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":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004557312,0.0001590891,0.0002204344,0.001799723,0.00482027,0.002100999,0.001090453,0.0007755277,0.00474884],"category_scores_gemma":[0.01098697,0.0001579876,0.0002049928,0.002091814,0.002673795,0.001318588,0.001938764,0.001296696,0.0002902754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0254633,"about_ca_system_score_gemma":0.0420991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8632609,"about_ca_topic_score_gemma":0.9299865,"domain_scores_codex":[0.9967878,0.0009692273,0.00009018529,0.00019846,0.0005834896,0.001370901],"domain_scores_gemma":[0.9930111,0.001058441,0.001859556,0.0002181138,0.002008812,0.001843978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003121583,0.0002692639,0.5960926,0.0002195908,0.00005192537,0.0006861824,0.1813901,0.0009513479,0.0008008014,0.04018478,0.01453388,0.1645074],"study_design_scores_gemma":[0.00001878051,0.0001880175,0.8173411,0.000432152,0.00002791517,0.0001136327,0.1350988,0.0005146581,0.000250552,0.00151389,0.04445613,0.00004437597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652308,0.002369468,0.0007594451,0.01073403,0.00008584242,0.00007233422,0.0002749759,0.00001274513,0.02046048],"genre_scores_gemma":[0.9923657,0.0006415343,0.0003737847,0.0003529721,0.00001937017,0.00002545904,0.00008511139,0.000005769862,0.006130271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8632609,"threshold_uncertainty_score":0.2750888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056237087334879,"score_gpt":0.3589466085574555,"score_spread":0.2533228998239677,"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."}}