{"id":"W3027306572","doi":"10.1002/cncr.32975","title":"Medicare access increases cancer detection and drives down mortality rates","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Life expectancy; Cancer; Demography; Epidemiology; Population; Colorectal cancer; Incidence (geometry); Mortality rate; Breast cancer; Surveillance, Epidemiology, and End Results; Cancer registry; Lung cancer; Gerontology; Surgery; Internal medicine; Environmental health","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":[0.001745133,0.0002860004,0.0003150621,0.001246671,0.0005575606,0.001842793,0.0005210839,0.001061339,0.01692618],"category_scores_gemma":[0.01901175,0.0002469603,0.0005906459,0.001155102,0.0003713807,0.001501126,0.002253709,0.0009721947,0.00220557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376471,"about_ca_system_score_gemma":0.001416298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080311,"about_ca_topic_score_gemma":0.01015157,"domain_scores_codex":[0.9984053,0.0004088654,0.00009886156,0.0002215756,0.0004816651,0.0003837178],"domain_scores_gemma":[0.9926847,0.002730528,0.001963578,0.0003779188,0.000996672,0.001246567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004612717,0.0005393677,0.6774035,0.0003665956,0.0001687739,0.0004899509,0.000961713,0.001261183,0.001698989,0.01297549,0.06535543,0.2383177],"study_design_scores_gemma":[0.0001050465,0.000464543,0.8554729,0.0004761507,0.0001741817,0.0007298383,0.001063381,0.003193338,0.00166423,0.01039623,0.1262151,0.00004514788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014504,0.01637546,0.004824604,0.06392886,0.001350121,0.0003351768,0.007653044,0.001010407,0.103072],"genre_scores_gemma":[0.974516,0.00349295,0.00183881,0.009252837,0.001415869,0.00008504192,0.001524108,0.0001060708,0.007768306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692618,"threshold_uncertainty_score":0.0566237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129361157959403,"score_gpt":0.421028183077113,"score_spread":0.29166702511771,"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."}}