{"id":"W4416841649","doi":"10.1158/1538-7755.asgcr25-abstract-39","title":"Abstract 39: Hepatic Cancer in Northeastern Brazil: Regional Disparities, Underreporting, and Impact on Incidence and Mortality","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Epidemiology; Mortality rate; Cancer; Disease; Notifiable disease; Quarter (Canadian coin); Liver cancer; Hepatitis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00202493,0.0002206206,0.0007173111,0.0002015352,0.00009316549,0.000007006297,0.00004828328,0.0002327355,0.00004637355],"category_scores_gemma":[0.0004537874,0.0001737368,0.000216005,0.0001840383,0.0002678558,0.00009127151,0.00004080547,0.0003000349,9.038503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175308,"about_ca_system_score_gemma":0.0005579098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0347872,"about_ca_topic_score_gemma":0.01601133,"domain_scores_codex":[0.9978397,0.0003378115,0.0007573029,0.0005337699,0.0001314658,0.0003999252],"domain_scores_gemma":[0.9987422,0.0003900789,0.0003275131,0.0002853163,0.00005030957,0.0002046298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004245949,0.00004563046,0.9554791,0.0004425542,0.0005031302,0.00001831686,0.00003539279,0.00005050682,0.00004527172,0.00005818599,0.0006015049,0.04229576],"study_design_scores_gemma":[0.001041911,0.00007770344,0.9934136,0.001475095,0.0002162639,0.00002564396,0.00003364937,0.0006565681,0.00001135018,0.0026672,0.000249286,0.0001317815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572953,0.03763933,0.0001960002,0.003726093,0.0004131632,0.0005947478,0.00001743471,0.00002809092,0.00008981759],"genre_scores_gemma":[0.9847564,0.01352254,0.00005130612,0.001258773,0.00007934155,0.0001309065,0.00004687545,0.00001186414,0.000142054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04216398,"threshold_uncertainty_score":0.9716402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05178413810354968,"score_gpt":0.4347496635597369,"score_spread":0.3829655254561872,"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."}}