{"id":"W3141581233","doi":"","title":"The Evolution of Longevity: Evidence from Canada","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"","keywords":"Longevity; Earnings; Demography; Demographic economics; Cohort; Geography; Economics; Gerontology; Medicine; Statistics; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002796574,0.0003275699,0.0006225428,0.004093698,0.00323411,0.002071585,0.001707953,0.0005788104,0.004206458],"category_scores_gemma":[0.01227434,0.0003743338,0.0008078341,0.01369013,0.001434938,0.0006051813,0.001841235,0.001007838,0.0003415519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01974865,"about_ca_system_score_gemma":0.03406547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955894,"about_ca_topic_score_gemma":0.9967831,"domain_scores_codex":[0.9975646,0.0002358195,0.0002186495,0.0004177929,0.0008307469,0.0007323754],"domain_scores_gemma":[0.9771301,0.002551082,0.003890481,0.001459294,0.01269946,0.002269629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002403578,0.00002711307,0.9763216,0.000172979,0.0002876613,0.000135134,0.001931801,0.0002113495,0.00006504291,0.001113117,0.005511148,0.01398269],"study_design_scores_gemma":[0.0000166818,0.00001664192,0.9935296,0.0002140503,0.0001353728,0.00005362849,0.00131531,0.0001609259,0.00005776732,0.000101673,0.004377381,0.00002093275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265946,0.01589904,0.0004827057,0.005046991,0.00009665308,0.00006090818,0.03106822,0.00003683081,0.02071398],"genre_scores_gemma":[0.9824655,0.00643963,0.0004046921,0.0005723212,0.00003559526,0.0000171417,0.008386303,0.00002586306,0.001652992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01974865,"threshold_uncertainty_score":0.1432872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706137450950439,"score_gpt":0.3863782731931033,"score_spread":0.3593168986835989,"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."}}