{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001968014,0.0001989218,0.0003297073,0.001458351,0.0003930316,0.000732324,0.000406128,0.0001667936,0.001379287],"category_scores_gemma":[0.007204817,0.0001758421,0.0005602714,0.00235683,0.000317001,0.0005460771,0.000883287,0.0002794064,0.0001423545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143532,"about_ca_system_score_gemma":0.001619468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08662594,"about_ca_topic_score_gemma":0.1014863,"domain_scores_codex":[0.9989828,0.0003296195,0.0001798798,0.0002021005,0.0001677608,0.0001378337],"domain_scores_gemma":[0.9960099,0.0008089927,0.002064155,0.0003705318,0.0005863602,0.000160056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001613753,0.00001297127,0.9929866,0.000105002,0.00005602257,0.00004173003,0.0006173359,0.00007853454,0.0001693881,0.0002180394,0.0003801069,0.005318123],"study_design_scores_gemma":[0.000003740651,0.00002065856,0.9961424,0.0001802487,0.00006107883,0.0001666838,0.001114893,0.000354766,0.0001758199,0.00014442,0.001629157,0.000006136952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845639,0.001815967,0.001175948,0.001054821,0.00001968746,0.00007919473,0.007048842,0.00002328425,0.004218218],"genre_scores_gemma":[0.9975454,0.0003864934,0.0004182228,0.00008055995,0.00001028084,0.00004051264,0.00134468,0.000005535423,0.0001682546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08662594,"threshold_uncertainty_score":0.1722434,"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."}}