{"id":"W4318539049","doi":"10.2196/43967","title":"Projection of Premature Cancer Mortality in Hunan, China, Through 2030: Modeling Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Medicine; Cancer; Attributable risk; Risk factor; Population; Demography; Cancer registry; Psychological intervention; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00148504,0.001015326,0.0005766774,0.001424666,0.0007588016,0.0008189182,0.001704967,0.001111957,0.002845228],"category_scores_gemma":[0.00129034,0.0004696202,0.001951295,0.001869029,0.0003644768,0.0007663205,0.0009663528,0.0009206649,0.0002537624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004228573,"about_ca_system_score_gemma":0.005642208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2382416,"about_ca_topic_score_gemma":0.123138,"domain_scores_codex":[0.9996378,0.0001266447,0.00001520977,0.0000731603,0.0000396904,0.0001073659],"domain_scores_gemma":[0.9994717,0.0001875661,0.00005517742,0.00003495777,0.0001866288,0.00006403026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000798238,0.00009556783,0.04302661,0.00007373207,0.0001371758,0.0001973675,0.00008088298,0.9472779,0.0001685087,0.002245637,0.002404542,0.004212336],"study_design_scores_gemma":[0.00004033767,0.00005545139,0.009995707,0.0000238923,0.00007133271,0.00003669394,0.0001690212,0.9870897,0.00009920165,0.00133224,0.001061426,0.00002488338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693518,0.0006613497,0.01231307,0.001543648,0.00009219217,0.0001681736,0.007713244,0.0002020058,0.0079545],"genre_scores_gemma":[0.9886619,0.000397775,0.004115658,0.0001300365,0.00002020211,0.0002063564,0.003373324,0.00001839767,0.003076282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2382416,"threshold_uncertainty_score":0.4737098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1771927857047106,"score_gpt":0.4434292042776314,"score_spread":0.2662364185729208,"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."}}