{"id":"W4315485867","doi":"10.3390/curroncol30010071","title":"Secular Trends of Liver Cancer Mortality and Years of Life Lost in Wuhan, China 2010–2019","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Years of potential life lost; Medicine; Demography; Mortality rate; Population; China; Liver cancer; Cause of death; Cancer; Census; Gerontology; Life expectancy; Environmental health; Geography; Surgery; Internal medicine; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076483,0.0001029967,0.0003731495,0.0003858626,0.00004722477,0.000007589891,0.0002305983,0.0001176705,0.0002074918],"category_scores_gemma":[0.00009851887,0.0001121445,0.0000933503,0.001048135,0.0005917785,0.00008684291,0.0001305229,0.0001599093,0.00001869112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009201369,"about_ca_system_score_gemma":0.0001477001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01956932,"about_ca_topic_score_gemma":0.03479145,"domain_scores_codex":[0.9983791,0.0003236109,0.0003696049,0.0002666179,0.0003435995,0.0003174715],"domain_scores_gemma":[0.9993441,0.00007784204,0.0002233356,0.0002003278,0.00006371435,0.00009068751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002008176,0.0002515756,0.9223423,0.0001332267,0.00006270663,0.00001272326,0.006867506,0.00003982935,0.00002406341,0.003215522,0.008493391,0.05853707],"study_design_scores_gemma":[0.0004420315,0.00005495186,0.9549462,0.00003569249,0.00003873208,9.95289e-8,0.0005156444,0.00009726938,0.000006345088,0.0003832963,0.04337773,0.0001019743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907086,0.003215333,0.000003621103,0.0003043368,0.001550724,0.0002265835,0.00006113834,0.00002513059,0.003904565],"genre_scores_gemma":[0.9900154,0.009500057,0.00001421205,0.00002308038,0.0001273312,0.00002058519,0.00001489295,0.000008320099,0.0002761338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0584351,"threshold_uncertainty_score":0.9869595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158494936924622,"score_gpt":0.4294725898235052,"score_spread":0.3136230961310429,"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."}}