{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005803104,0.0005451937,0.00037064,0.0007318632,0.001056182,0.00166295,0.0009749983,0.0008131558,0.006682961],"category_scores_gemma":[0.001955071,0.0002920414,0.0007715446,0.0009762815,0.0003460544,0.0006728083,0.0008199872,0.000875731,0.0006101336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03411448,"about_ca_system_score_gemma":0.0183746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928896,"about_ca_topic_score_gemma":0.9893599,"domain_scores_codex":[0.9997209,0.00007143994,0.000007166358,0.00003598953,0.00003656755,0.0001279542],"domain_scores_gemma":[0.9992571,0.0001068385,0.0000569687,0.00002665858,0.0004154083,0.0001370457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000265184,0.0001647864,0.1749419,0.0001713006,0.0003392166,0.0003521027,0.0003450692,0.7478155,0.001189245,0.01762998,0.03108289,0.0257029],"study_design_scores_gemma":[0.00009259057,0.0001095972,0.1314804,0.0001445438,0.0001435193,0.00004124011,0.001038752,0.8420931,0.0004513978,0.002301946,0.0220033,0.00009954676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168822,0.001187188,0.008965488,0.007782671,0.0001656166,0.0001685682,0.03501218,0.0002430219,0.02959324],"genre_scores_gemma":[0.9760489,0.0007377717,0.002615599,0.0004184513,0.00002411031,0.00009557326,0.006053224,0.00002977677,0.01397671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411448,"threshold_uncertainty_score":0.247519,"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."}}