{"id":"W1533735880","doi":"10.1353/cpp.0.0036","title":"Population Aging, Older Workers, and Canada's Labour Force","year":2009,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Population ageing; Labour economics; Population; Demographic economics; Older people; Business; Economics; Gerontology; Environmental health; Medicine","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":[0.001886526,0.0002042672,0.0002575493,0.001648959,0.005730244,0.002065556,0.0009574243,0.001218468,0.004652932],"category_scores_gemma":[0.005000903,0.0001482795,0.0004416695,0.002630902,0.001344094,0.000592009,0.001005576,0.001227653,0.0002058303],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04851946,"about_ca_system_score_gemma":0.1776998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997924,"about_ca_topic_score_gemma":0.9992581,"domain_scores_codex":[0.9978963,0.0001940483,0.00008481028,0.00007229166,0.0008963302,0.000856204],"domain_scores_gemma":[0.9956988,0.00029209,0.0003224787,0.00003916874,0.001850586,0.001796853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002265186,0.0002022668,0.4080373,0.001022611,0.0001119388,0.0005602598,0.009067112,0.001680149,0.0005059984,0.0548539,0.3107452,0.2129867],"study_design_scores_gemma":[0.0000629463,0.00006101307,0.8088512,0.001275443,0.0000889412,0.0001116827,0.005924923,0.0006232314,0.0001658238,0.002739842,0.1800241,0.00007087422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3505,0.07400719,0.0007926038,0.3898163,0.002360635,0.0001962891,0.009038941,0.0001136833,0.1731745],"genre_scores_gemma":[0.8856389,0.04545076,0.001350038,0.02825786,0.0007729037,0.0001413689,0.002087357,0.00002759088,0.03627322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9514805,"threshold_uncertainty_score":0.352035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06825687127878485,"score_gpt":0.3606469323909,"score_spread":0.2923900611121151,"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."}}