{"id":"W7014538296","doi":"","title":"Portrait des personnes âgées de 45 ans et plus sur le marché du travail au Québec&#13;\\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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001084218,0.0002877777,0.0001835223,0.001513779,0.002674331,0.0006807366,0.0004558273,0.0003897088,0.03877736],"category_scores_gemma":[0.0003768363,0.000162342,0.0002979462,0.00240544,0.0004442097,0.0003225195,0.000525658,0.0006835385,0.003879035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004491036,"about_ca_system_score_gemma":0.003911309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764444,"about_ca_topic_score_gemma":0.9914882,"domain_scores_codex":[0.9998906,0.000008398856,0.000002132139,0.00001502926,0.00002672447,0.00005710024],"domain_scores_gemma":[0.9996276,0.00002022759,0.00002222385,0.00001319221,0.0002124307,0.0001043287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000297843,0.00007045543,0.1898974,0.0003663246,0.00006407109,0.002075003,0.08145542,0.001155479,0.001888602,0.00624474,0.5979304,0.1185542],"study_design_scores_gemma":[0.000007253369,0.00001980237,0.6795588,0.0002178247,0.0000127954,0.0003819205,0.04844329,0.0002802727,0.0001621197,0.0001553087,0.2707362,0.00002426973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5677258,0.004211743,0.001748136,0.007586244,0.0008107256,0.0002151825,0.1199954,0.0004141593,0.2972927],"genre_scores_gemma":[0.6949745,0.00244752,0.001383218,0.0008320996,0.00007702737,0.0001253144,0.01783821,0.0001193558,0.2822027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03877736,"threshold_uncertainty_score":0.1297232,"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."}}