{"id":"W2092908465","doi":"10.1111/j.1936-4490.2001.tb00243.x","title":"Population Aging in Canada and Japan: Implications for Labour Force and Career Patterns","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pension; Economic shortage; Bust; Population ageing; Labour supply; Population; Recession; Political science; Demographic economics; Fertility; Baby boomers; Economics; Retirement age; Labour economics; Economic growth; Sociology; Government (linguistics); Demography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00250781,0.0001513411,0.0002291937,0.000282771,0.001940458,0.0004046278,0.0003866901,0.00006105116,0.00002953569],"category_scores_gemma":[0.000832167,0.0001527921,0.00004011149,0.0007343744,0.001878925,0.0007906613,0.00001040571,0.000118942,9.488623e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145994,"about_ca_system_score_gemma":0.01260474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9642765,"about_ca_topic_score_gemma":0.9999313,"domain_scores_codex":[0.9979962,0.0001723795,0.0005031293,0.0003575127,0.000188184,0.0007825986],"domain_scores_gemma":[0.9980026,0.000279547,0.0003114899,0.00009407065,0.0002674665,0.001044749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006505964,0.000007651937,0.9561568,0.00003024588,0.000004486144,0.00001340968,0.01037884,0.00008483013,0.00003146937,0.03050863,0.00001469968,0.002762364],"study_design_scores_gemma":[0.0001933685,0.0006564481,0.9244243,0.0001218847,0.00001549849,0.0001563475,0.04681247,0.0002156781,0.00002935661,0.02663178,0.0005326284,0.0002102497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921318,0.0002028096,0.0002389059,0.005659461,0.0002417069,0.0003461012,0.00007794627,0.000003562968,0.001097711],"genre_scores_gemma":[0.9984634,0.0001021379,0.0009304986,0.0002014423,0.0001300387,0.00001788692,0.000005041162,0.000005653394,0.0001439026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03643363,"threshold_uncertainty_score":0.9993589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2525929047851018,"score_gpt":0.4040275854240445,"score_spread":0.1514346806389427,"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."}}