{"id":"W2556199710","doi":"10.3138/cpp.2016-035","title":"Projecting the Impact of Population Aging on the Quebec Labour Market","year":2016,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal; Université Laval","funders":"","keywords":"Workforce; Educational attainment; Microsimulation; Demographic economics; Economics; Population ageing; Working population; Labour economics; Population; Economic growth; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001509304,0.00007945721,0.00007910226,0.0001465169,0.0006952301,0.0001376759,0.0003488317,0.00004453651,0.0006937556],"category_scores_gemma":[0.002405009,0.00003642605,0.0000845128,0.0004723601,0.0002249236,0.0001774099,0.0000184986,0.00006155242,0.00001318069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120879,"about_ca_system_score_gemma":0.00325392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955652,"about_ca_topic_score_gemma":0.986252,"domain_scores_codex":[0.9986143,0.0003720364,0.0001477219,0.0001303238,0.0002309465,0.0005046467],"domain_scores_gemma":[0.9990488,0.0002466105,0.00008857859,0.0002872051,0.0000736783,0.0002551066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002798801,0.00001605146,0.45963,0.000005170962,0.00002879551,2.980396e-7,0.005660468,0.000001404842,0.00001459596,0.4654151,0.01882398,0.05040124],"study_design_scores_gemma":[0.0000804195,0.00001880247,0.9614098,0.00002464418,0.000002673034,2.347724e-7,0.001941984,0.000009296819,0.000004812365,0.004653572,0.03177316,0.00008056414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240547,0.000008462568,0.000001069443,0.1125088,0.00007839832,0.0003114908,0.00003235515,0.00001711626,0.06298764],"genre_scores_gemma":[0.9932802,0.000009598689,0.000001377952,0.0006172021,0.0004602531,0.0000193918,0.000001524125,0.000007712332,0.005602699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5017798,"threshold_uncertainty_score":0.7596138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15463103136816,"score_gpt":0.4185506602676154,"score_spread":0.2639196288994555,"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."}}