{"id":"W3134423142","doi":"10.1111/caje.12497","title":"The evolution of longevity: Evidence from Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Global Health Care Issues","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"","keywords":"Longevity; Earnings; Slowdown; Quarter (Canadian coin); Economics; Demographic economics; Demography; Economic slowdown; Contrast (vision); Geography; Gerontology; Medicine; Economic growth; Macroeconomics; Sociology; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002580631,0.0003529807,0.0006629359,0.00478947,0.003818334,0.002199445,0.001555432,0.0006519678,0.00680679],"category_scores_gemma":[0.0100611,0.0003056664,0.0007476865,0.01470047,0.001529134,0.0005704818,0.001584962,0.001075303,0.000439235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03150042,"about_ca_system_score_gemma":0.04324117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971896,"about_ca_topic_score_gemma":0.9975919,"domain_scores_codex":[0.9974734,0.0002323332,0.0001699952,0.0003599429,0.001046762,0.0007174585],"domain_scores_gemma":[0.9767449,0.002189798,0.003440124,0.0009649225,0.01455606,0.002104216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004427226,0.00006709761,0.9380027,0.0004262839,0.0004955691,0.0002888863,0.003908804,0.000460053,0.0001027008,0.004160071,0.01935977,0.03228527],"study_design_scores_gemma":[0.00003075154,0.00002684221,0.9841075,0.0004291327,0.0002027775,0.00007364665,0.002674224,0.0002157565,0.00008485575,0.0003010446,0.01181321,0.00004027318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526983,0.03220068,0.0006208575,0.009961667,0.000218197,0.0001073844,0.0562658,0.00004522422,0.04788178],"genre_scores_gemma":[0.9782747,0.008490136,0.0003803595,0.0008255928,0.00005472994,0.00002371024,0.008448807,0.00002417638,0.003477787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03150042,"threshold_uncertainty_score":0.2285526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2008930461478689,"score_gpt":0.2802489670787165,"score_spread":0.07935592093084759,"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."}}