{"id":"W4393120052","doi":"10.2147/ott.s444536","title":"Development and Validation of a Machine Learning-Based Model Used for Predicting Hepatocellular Carcinoma Risk in Patients with Hepatitis B-Related Cirrhosis: A Retrospective Study","year":2024,"lang":"en","type":"article","venue":"OncoTargets and Therapy","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Receiver operating characteristic; Cohort; Retrospective cohort study; Hepatocellular carcinoma; Internal medicine; Concordance; Cirrhosis; Framingham Risk Score","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004123579,0.0005255841,0.0004305696,0.001137693,0.0003115563,0.0007476723,0.0005300011,0.0004898455,0.0006426821],"category_scores_gemma":[0.006843142,0.0002768959,0.0005326635,0.0005124564,0.0002350744,0.0005875172,0.0004488167,0.0004434097,0.0002724781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004241699,"about_ca_system_score_gemma":0.0005177561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518285,"about_ca_topic_score_gemma":0.00142211,"domain_scores_codex":[0.9989986,0.000484412,0.0001189879,0.0001546704,0.0001907623,0.00005257142],"domain_scores_gemma":[0.9971507,0.001453404,0.0004221561,0.0003569486,0.0005005343,0.0001162431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002297742,0.0001075153,0.9863863,0.00001766158,0.0001195856,0.0002242767,0.00006090937,0.003091946,0.0005164539,0.00003588899,0.0001053513,0.009104385],"study_design_scores_gemma":[0.00006495824,0.001522692,0.7292359,0.00008752197,0.0004073319,0.002942323,0.0004038773,0.2615387,0.002205016,0.000290817,0.001264392,0.00003641256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936188,0.0001830251,0.005556897,0.00004207326,0.00001312178,0.00003391561,0.0001982313,0.00002338768,0.0003304402],"genre_scores_gemma":[0.9972619,0.00008560657,0.002147386,0.00001271957,0.000008027736,0.00002554223,0.0003494181,0.000004779521,0.0001045853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004123579,"threshold_uncertainty_score":0.02180785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177784244713413,"score_gpt":0.2325506435789691,"score_spread":0.2107728011318349,"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."}}