{"id":"W3212819629","doi":"10.2139/ssrn.3960378","title":"Population Aging and Worklife Duration: Myths and Realities in the Canadian Context","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Duration (music); Mythology; Context (archaeology); Population; Population ageing; Psychology; History; Geography; Sociology; Demography; Art; Literature; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002481558,0.00004932728,0.00006950627,0.00003636027,0.0008211026,0.0002446921,0.00006208799,0.0000361571,0.00002034441],"category_scores_gemma":[0.0001288427,0.00004005338,0.00001744752,0.000115403,0.00008710453,0.0001617367,0.000007352568,0.0003536916,5.988264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008703632,"about_ca_system_score_gemma":0.001692013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3117478,"about_ca_topic_score_gemma":0.9930815,"domain_scores_codex":[0.99854,0.0003199512,0.0001487604,0.00009543198,0.0002044533,0.0006913615],"domain_scores_gemma":[0.999743,0.00005359695,0.00004292644,0.00005421756,0.00003367407,0.00007262404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003973816,0.00001109691,0.3940991,0.000004332719,0.00001451225,0.000003829152,0.02551377,0.00000200987,0.000002391133,0.5569782,0.00008510044,0.0232816],"study_design_scores_gemma":[0.0003603592,0.0000471103,0.202608,0.00004068034,0.00001779114,0.00007176558,0.3697897,0.00001571316,0.000003453634,0.4162749,0.01063242,0.000138086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605602,0.004028731,0.0000183234,0.02882023,0.0001063375,0.0001070464,7.567305e-7,0.000005052478,0.006353329],"genre_scores_gemma":[0.9945689,0.004269429,0.000005260298,0.0004376131,0.0001911546,0.000003069628,0.000002827425,0.00000290996,0.0005188473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6813337,"threshold_uncertainty_score":0.6928353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07779388248586998,"score_gpt":0.3647451117483594,"score_spread":0.2869512292624894,"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."}}