{"id":"W4403590633","doi":"10.3386/w33066","title":"The Time of Your Life: The Mortality and Longevity of Canadians","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Longevity; Demography; Gerontology; Geography; Medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733786,0.0002822008,0.0002350453,0.00297415,0.002485808,0.00126997,0.001116588,0.0003695525,0.002521617],"category_scores_gemma":[0.007118678,0.0001360971,0.0006069168,0.004321656,0.0004435687,0.000474673,0.001027914,0.0005630431,0.0002526095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01409829,"about_ca_system_score_gemma":0.0237912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900393,"about_ca_topic_score_gemma":0.9920239,"domain_scores_codex":[0.9991871,0.00009044807,0.0000243427,0.0001135185,0.0004083992,0.0001762784],"domain_scores_gemma":[0.997906,0.0002729626,0.0002297149,0.000116217,0.001172021,0.0003031409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004539165,0.00003403963,0.9091791,0.00008291141,0.0000711573,0.00006189421,0.001643085,0.001934812,0.0001254582,0.01039291,0.01315957,0.06326967],"study_design_scores_gemma":[0.000005904058,0.00001928839,0.9732723,0.00007662693,0.0000466657,0.00004476417,0.001508459,0.003067313,0.0001676199,0.001052991,0.02071337,0.00002471712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8575857,0.006297435,0.01493108,0.007413872,0.0003406105,0.0004038247,0.06033336,0.0001574143,0.05253671],"genre_scores_gemma":[0.9616157,0.00209783,0.01345836,0.0002962374,0.00007851674,0.0002019355,0.0102817,0.00003615687,0.01193346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409829,"threshold_uncertainty_score":0.1022907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3521709173919992,"score_gpt":0.5365409491440257,"score_spread":0.1843700317520265,"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."}}