{"id":"W2788506861","doi":"10.3386/w24874","title":"The Labor Force Participation of Older Men in Canada:","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging","keywords":"Demographic economics; Labour economics; Political science; Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006178973,0.0003182058,0.0002770593,0.002382257,0.002222864,0.00132051,0.001231124,0.0006463483,0.003070356],"category_scores_gemma":[0.001530637,0.0001595773,0.000599203,0.005553858,0.0003908672,0.0005653325,0.001118337,0.0007327138,0.0005602554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01737939,"about_ca_system_score_gemma":0.03811968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958355,"about_ca_topic_score_gemma":0.9979026,"domain_scores_codex":[0.9992414,0.00002665435,0.00004383647,0.00006377608,0.000283896,0.0003405528],"domain_scores_gemma":[0.9984794,0.00005178713,0.0002524966,0.00002172342,0.0007409281,0.0004536205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004005443,0.00005301035,0.9820328,0.0001067286,0.00003520188,0.00006877257,0.001425713,0.0001204508,0.00008009684,0.0002218006,0.003447256,0.01236795],"study_design_scores_gemma":[0.000004050615,0.00001338654,0.994146,0.00006827407,0.00001605347,0.00003125404,0.002051113,0.0002041246,0.00003946218,0.00002929254,0.003389127,0.000007865987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510782,0.003562598,0.0001938379,0.002570482,0.00004631136,0.0001008618,0.03457512,0.0000167502,0.00785584],"genre_scores_gemma":[0.9811783,0.003644471,0.0002956438,0.0004614679,0.00003149888,0.00005217363,0.009613031,0.000007629716,0.004715785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01737939,"threshold_uncertainty_score":0.1260969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.614271451849431,"score_gpt":0.6033429141923478,"score_spread":0.01092853765708324,"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."}}