{"id":"W2100843150","doi":"10.1111/1475-6773.12403","title":"The Impact of Improved Population Life Expectancy in Survival Trend Analyses of Specific Diseases","year":2015,"lang":"en","type":"article","venue":"Health Services Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Life expectancy; Medicine; Demography; Population; Survival analysis; Mortality rate; Relative survival; Medical diagnosis; Gerontology; Environmental health; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005217174,0.0001126325,0.0003535214,0.0005015531,0.0004299791,0.00007890792,0.0005990062,0.00005810661,0.00003222291],"category_scores_gemma":[0.0001328847,0.00008073611,0.0001389748,0.002378474,0.0003023414,0.000232458,0.0001147699,0.0001905974,0.000003839172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310023,"about_ca_system_score_gemma":0.0006197666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.364212,"about_ca_topic_score_gemma":0.1780404,"domain_scores_codex":[0.9947094,0.002082332,0.0006506129,0.0002723096,0.001569205,0.0007161247],"domain_scores_gemma":[0.9979182,0.0004258636,0.0003908994,0.0004627967,0.0004210233,0.0003811409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002569001,0.0002875444,0.9791135,0.0002270845,0.00004595279,0.00000135448,0.0137674,0.0001340619,0.0000233573,0.001412797,0.0002648888,0.004465147],"study_design_scores_gemma":[0.0003834251,0.0001983243,0.96406,0.00005970544,0.000003330954,2.381379e-8,0.03296699,0.0004677878,0.000005914793,0.001454786,0.0003326217,0.00006711164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888465,0.007101195,0.000002684268,0.0004171033,0.0001731437,0.0007251087,0.00004603366,0.00002021324,0.002668021],"genre_scores_gemma":[0.996533,0.003153867,0.00002795936,0.00001180776,0.0001582388,0.00003357272,0.00002680865,0.00001155037,0.00004315491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861716,"threshold_uncertainty_score":0.8369582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2038345694915878,"score_gpt":0.5363243875824955,"score_spread":0.3324898180909076,"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."}}