{"id":"W4390033373","doi":"10.6004/jnccn.2023.7069","title":"Development and Validation of a Nomogram for Predicting Postoperative Early Relapse and Survival in Hepatocellular Carcinoma","year":2023,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"Jiangxi Provincial Department of Science and Technology; National Natural Science Foundation of China","keywords":"Nomogram; Medicine; Hepatocellular carcinoma; Concordance; Hepatectomy; Internal medicine; Cohort; Retrospective cohort study; Oncology; Surgery; Resection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008346448,0.0008291344,0.0007850664,0.002139285,0.0004331269,0.001179681,0.0006801128,0.0005624035,0.0004413154],"category_scores_gemma":[0.01887875,0.0002304777,0.0007824439,0.000909315,0.0004355133,0.0006736931,0.0008103746,0.0007125037,0.0002353112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374379,"about_ca_system_score_gemma":0.001083501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073854,"about_ca_topic_score_gemma":0.002040457,"domain_scores_codex":[0.9979795,0.001298875,0.0001268349,0.0001675864,0.0003216396,0.0001055726],"domain_scores_gemma":[0.990811,0.005440088,0.001237293,0.000738273,0.001410253,0.000363086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005674922,0.0001869737,0.9145403,0.00004918831,0.0002307901,0.0001026057,0.00008313699,0.0307928,0.0008281347,0.0001518442,0.0009203168,0.05154635],"study_design_scores_gemma":[0.0001583449,0.0009697842,0.3229769,0.00008409707,0.0004523799,0.0007499302,0.0002401919,0.668954,0.002596007,0.0009334118,0.001824578,0.00006041662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.957305,0.0006602056,0.04035951,0.0002371233,0.00005388071,0.0001456708,0.0004588615,0.0001582978,0.0006214284],"genre_scores_gemma":[0.9858436,0.0001191326,0.01334893,0.00002009662,0.00002478598,0.00006963635,0.0005030955,0.00001185337,0.00005882587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008346448,"threshold_uncertainty_score":0.04414082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09559302608642728,"score_gpt":0.3015228849217186,"score_spread":0.2059298588352913,"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."}}