{"id":"W7014538296","doi":"","title":"Portrait des personnes âgées de 45 ans et plus sur le marché du travail au Québec
\\nVolume 1 - Vieillissement de la population et recomposition démographique du marché du travail","year":2021,"lang":"fr","type":"other","venue":"R-libre (Université Téluq)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Population ageing; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002922216,0.001975949,0.001894983,0.001392121,0.001723144,0.0006209331,0.001424125,0.001918175,0.008635764],"category_scores_gemma":[0.0001892007,0.002482369,0.00156873,0.002182873,0.001587656,0.001752597,0.0005310994,0.001752121,0.0004251805],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008923172,"about_ca_system_score_gemma":0.0060212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5859947,"about_ca_topic_score_gemma":0.7976474,"domain_scores_codex":[0.9871604,0.006069428,0.001029982,0.002311988,0.001228769,0.002199472],"domain_scores_gemma":[0.9950621,0.0007375431,0.001264737,0.001212619,0.0005251943,0.001197848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002178565,0.003837683,0.6616542,0.003605404,0.003889136,0.006024978,0.06372768,0.003695268,0.02038614,0.002908044,0.06928296,0.1588099],"study_design_scores_gemma":[0.004316941,0.0004754308,0.828912,0.002777629,0.001174772,0.00179569,0.007993201,0.003724456,0.0001113901,0.0001491457,0.1463886,0.002180706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582655,0.008518186,0.002490535,0.008566743,0.0004537153,0.001751215,0.001840757,0.0008215254,0.01729177],"genre_scores_gemma":[0.8916357,0.01336636,0.004810292,0.000611597,0.001043585,0.00009638144,0.006804934,0.001968538,0.07966264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2116527,"threshold_uncertainty_score":0.9996138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130307705893094,"score_gpt":0.2110077205344984,"score_spread":0.1997046434755674,"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."}}