{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143695,0.0004280542,0.0004747547,0.00772952,0.001111384,0.001057831,0.001327435,0.0003467831,0.03936401],"category_scores_gemma":[0.005954539,0.0003120072,0.001169917,0.008840897,0.0001141434,0.0004332336,0.0005615411,0.0005838553,0.003893333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005812647,"about_ca_system_score_gemma":0.012966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681616,"about_ca_topic_score_gemma":0.9704432,"domain_scores_codex":[0.9994195,0.00003509188,0.0000592299,0.00008636081,0.0002310657,0.0001688705],"domain_scores_gemma":[0.995771,0.0003889632,0.0003869641,0.000303451,0.002794788,0.0003548227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005277351,0.0001102415,0.2709749,0.0008086034,0.0005308653,0.0001866739,0.0008861143,0.003216962,0.0002413337,0.006169908,0.6187306,0.09761612],"study_design_scores_gemma":[0.0001065809,0.00005304529,0.753999,0.0003293521,0.0001698955,0.000177259,0.001024937,0.002410347,0.0001339171,0.0009182381,0.2406066,0.00007087954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03240149,0.0009213237,0.001022779,0.0002380679,0.0001089559,0.000197507,0.9484811,0.0004322219,0.01619651],"genre_scores_gemma":[0.1529556,0.002459356,0.005011919,0.0002773043,0.00006492712,0.0004352726,0.8003513,0.0002143363,0.03823005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03936401,"threshold_uncertainty_score":0.1316857,"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."}}