{"id":"W2072448779","doi":"10.1108/01425450210435545","title":"Mandatory retirement: a constraint in transitions to retirement?","year":2002,"lang":"en","type":"article","venue":"Employee Relations","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Mandatory retirement; Workforce; Retirement age; Context (archaeology); Population ageing; Constraint (computer-aided design); Argument (complex analysis); Population; Demographic economics; Labour economics; Business; Economics; Pension; Economic growth; Sociology; Finance; Medicine","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":[0.003851379,0.0001180144,0.0003068249,0.0006368992,0.002434452,0.003611138,0.00108764,0.00126471,0.01119502],"category_scores_gemma":[0.01938848,0.0001609591,0.0002737705,0.001260904,0.003148078,0.004335553,0.002846421,0.002005021,0.0006689525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005124312,"about_ca_system_score_gemma":0.01047624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1052027,"about_ca_topic_score_gemma":0.2289722,"domain_scores_codex":[0.996389,0.001169798,0.0002321327,0.000340899,0.0007053293,0.001162906],"domain_scores_gemma":[0.9882811,0.005136864,0.002557893,0.0005238861,0.001289305,0.002210923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002152321,0.0001221541,0.1161927,0.0002729977,0.00002901505,0.0006145573,0.01930992,0.001139858,0.0003580071,0.6931639,0.03021628,0.1383655],"study_design_scores_gemma":[0.00006082115,0.0001415537,0.3836213,0.002381997,0.00004964234,0.0009218384,0.08025376,0.002474224,0.0006321079,0.2141199,0.3152012,0.0001417081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4877693,0.01129061,0.007133671,0.2291709,0.0007866051,0.00008344322,0.001448521,0.00007061663,0.2622463],"genre_scores_gemma":[0.983873,0.001588547,0.0006053564,0.003849304,0.000243469,0.00002711909,0.0001510489,0.00001708997,0.009645067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052027,"threshold_uncertainty_score":0.2091807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2139952875674395,"score_gpt":0.3968048766558048,"score_spread":0.1828095890883652,"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."}}