{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032216,0.0004183667,0.0003073355,0.002011513,0.0003040466,0.0004468349,0.0005655198,0.0003503544,0.001477159],"category_scores_gemma":[0.001799826,0.0002185757,0.0007855065,0.002116329,0.0002272504,0.0006017688,0.0006673422,0.0004580052,0.0003003156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784653,"about_ca_system_score_gemma":0.002423647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06614962,"about_ca_topic_score_gemma":0.07559687,"domain_scores_codex":[0.9995598,0.00004555934,0.00006928378,0.0001136669,0.0001079792,0.0001036954],"domain_scores_gemma":[0.9991457,0.00005702382,0.0002631836,0.00004497218,0.0003654248,0.0001235525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009603937,0.00002452443,0.979478,0.0002058819,0.0003600112,0.0002350633,0.0004183424,0.001404912,0.001167164,0.0005569521,0.003457091,0.01259596],"study_design_scores_gemma":[0.000005097981,0.00002915314,0.995532,0.00002276231,0.00006401271,0.00009509247,0.0001610133,0.001412492,0.0001322848,0.00007116577,0.002462314,0.00001248678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826313,0.002450644,0.0006359667,0.0009754171,0.00005427577,0.00004198492,0.01092658,0.00007517191,0.00220873],"genre_scores_gemma":[0.9872213,0.0007362095,0.0003686184,0.0001444399,0.00002982732,0.00007556189,0.01007865,0.00001088208,0.001334546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06614962,"threshold_uncertainty_score":0.1315292,"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."}}