{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004445359,0.0001891028,0.0001978253,0.002200837,0.002842092,0.001125586,0.0004382229,0.0002986937,0.002523536],"category_scores_gemma":[0.001238513,0.00007618969,0.0003686307,0.0034264,0.0006208976,0.0003492436,0.000770898,0.0004512265,0.0001443507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01495371,"about_ca_system_score_gemma":0.0203738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749248,"about_ca_topic_score_gemma":0.9833513,"domain_scores_codex":[0.9995798,0.00002963622,0.00001665594,0.00002769804,0.00009295353,0.0002531375],"domain_scores_gemma":[0.9985774,0.00005960468,0.0001711058,0.00001606936,0.0006529544,0.0005229382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008228608,0.00002968124,0.9737269,0.00007324478,0.00002409752,0.0005063524,0.003153268,0.0002391928,0.0002391682,0.0008903469,0.001995616,0.01903988],"study_design_scores_gemma":[0.000001839281,0.00001608682,0.9880676,0.00004744581,0.0000137707,0.00007410036,0.008617214,0.0001861648,0.00003710628,0.00008913931,0.002842465,0.00000707116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841654,0.002156456,0.00006222948,0.002467134,0.00003738207,0.00002671938,0.001802616,0.000006876005,0.009275055],"genre_scores_gemma":[0.9950656,0.002050022,0.0001018863,0.0001943465,0.00001966979,0.00001518019,0.0005662269,0.000002519044,0.001984576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250752,"threshold_uncertainty_score":0.1084973,"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."}}