{"id":"W4403600943","doi":"10.2139/ssrn.4994003","title":"The Time of Your Life: The Mortality and Longevity of Canadians","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Longevity; Gerontology; Demography; Medicine; Sociology","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":[0.001029517,0.0002208597,0.000313909,0.001946967,0.00423415,0.00179454,0.001179063,0.001017941,0.00372547],"category_scores_gemma":[0.006518147,0.0001665614,0.0005923344,0.00565737,0.0008997447,0.0008990772,0.0009400509,0.001493631,0.000191537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02373504,"about_ca_system_score_gemma":0.0372158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943787,"about_ca_topic_score_gemma":0.996308,"domain_scores_codex":[0.9992086,0.00006672293,0.00003499706,0.00007397638,0.0002200252,0.0003957309],"domain_scores_gemma":[0.9965287,0.0001762014,0.0006168082,0.00007711291,0.001412062,0.001189182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001621781,0.00005598741,0.9708565,0.00004762768,0.00007678846,0.0001169657,0.003957167,0.0001668834,0.00004426621,0.001322534,0.00567595,0.01751713],"study_design_scores_gemma":[0.000005600273,0.00002688482,0.987969,0.00009657694,0.00005376464,0.00008804011,0.006036364,0.0002321367,0.0000225589,0.0002941462,0.005147274,0.00002761677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739386,0.00557773,0.00007950403,0.007643211,0.000118905,0.00001429944,0.004886444,0.000006789074,0.007734513],"genre_scores_gemma":[0.9958822,0.001731449,0.00006347881,0.0002819321,0.00003915462,0.000004031245,0.0007755703,0.000003483506,0.001218668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02373504,"threshold_uncertainty_score":0.1722106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535453758497822,"score_gpt":0.2973790289589902,"score_spread":0.2820244913740119,"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."}}