{"id":"W2236031128","doi":"","title":"Cohort Working Life Tables for Older Canadians","year":2009,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Life expectancy; Cohort; Demography; Life table; Gerontology; Cohort study; Statistics; Psychology; Geography; Medicine; Mathematics; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0019001,0.0000819184,0.000179772,0.0002320873,0.00174051,0.0001035445,0.0001460855,0.00007491046,0.00006533268],"category_scores_gemma":[0.00008844441,0.00008395877,0.00007084296,0.0001637915,0.0002493204,0.0002038956,0.00002400143,0.0001023705,0.000002123744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494248,"about_ca_system_score_gemma":0.0001391885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09871697,"about_ca_topic_score_gemma":0.08689817,"domain_scores_codex":[0.9986411,0.0001749372,0.0002373408,0.0002659576,0.0002287609,0.0004518963],"domain_scores_gemma":[0.9994291,0.0001022571,0.00008199973,0.000116042,0.00007126998,0.0001993448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004258881,0.00009998644,0.7217832,0.00003161124,0.0001297069,0.000001967914,0.01380494,0.0007438724,0.00006122449,0.1651962,0.00416566,0.09393896],"study_design_scores_gemma":[0.0002848966,0.00003508879,0.9637193,0.00002545384,0.00001946983,8.955009e-8,0.01118968,0.0003543474,0.00000282985,0.006035155,0.01817614,0.0001575175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843027,0.00006005169,0.000003434832,0.003363385,0.0001706141,0.0005807422,0.0000209414,0.00003111174,0.01146702],"genre_scores_gemma":[0.9986218,0.0001167056,0.0002407527,0.0002453201,0.0002280035,0.0000212067,0.00004485328,0.000009014143,0.0004722931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2419361,"threshold_uncertainty_score":0.9995591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688240707547983,"score_gpt":0.3730694484613006,"score_spread":0.3161870413858208,"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."}}