{"id":"W3043269409","doi":"","title":"Abstract for Ageing and Labour Supply in Advanced Economies | Bulletin – December Quarter 2017","year":2017,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population ageing; Labour supply; Economy; Economics; Business; Labour economics; Medicine; History; Population; Environmental health","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":[0.001176295,0.0008277404,0.0006342615,0.003141695,0.001961661,0.003674001,0.0005544694,0.001328937,0.08521011],"category_scores_gemma":[0.003501526,0.0003066828,0.0004689065,0.00362887,0.000502163,0.002210851,0.001727012,0.002178282,0.01853897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002550886,"about_ca_system_score_gemma":0.005436214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02706997,"about_ca_topic_score_gemma":0.0452855,"domain_scores_codex":[0.9995272,0.00008018254,0.00004786891,0.00003984574,0.0002010553,0.0001038971],"domain_scores_gemma":[0.9966859,0.0005424686,0.0003342233,0.0001190889,0.00160871,0.0007096159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003468597,0.00003403579,0.001742494,0.0001115932,0.000006699929,0.00001521479,0.00008300498,0.00003516603,0.0000352564,0.0005149482,0.9812031,0.01618368],"study_design_scores_gemma":[0.00002159905,0.00004360949,0.02917446,0.0005739602,0.00001789967,0.00003240208,0.0006964017,0.00005854782,0.0001469503,0.0005627603,0.9686583,0.00001295908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02974667,0.1668824,0.0006136685,0.3454373,0.1611059,0.0003504242,0.04415708,0.0004730491,0.2512335],"genre_scores_gemma":[0.06861702,0.09719272,0.0005988812,0.01069842,0.06462027,0.0005115794,0.02467574,0.0002923279,0.732793],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08521011,"threshold_uncertainty_score":0.2850562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104772126373186,"score_gpt":0.2926521669702691,"score_spread":0.2716044457065372,"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."}}