{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491956,0.0001014923,0.0002772976,0.0001244149,0.00009564363,0.00001319563,0.00005019188,0.00005397262,0.000002607749],"category_scores_gemma":[0.0000890373,0.00007285514,0.00007720126,0.0003296851,0.00004712599,0.00007072635,0.00004426647,0.0001398433,1.768568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152221,"about_ca_system_score_gemma":0.0002279297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001916812,"about_ca_topic_score_gemma":0.000007977336,"domain_scores_codex":[0.9989445,0.00007608269,0.0003942112,0.0001118281,0.0003409819,0.0001323823],"domain_scores_gemma":[0.9985481,0.0003013887,0.0002698568,0.00004074251,0.0007827333,0.00005718935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003377142,0.00002570754,0.9950885,0.00006256683,0.0001439808,0.00001050102,0.00126098,0.0003842993,0.001389132,0.00009489081,0.0002245166,0.0009772783],"study_design_scores_gemma":[0.002563193,0.0002788074,0.9782841,0.0004130238,0.0001180625,0.00003807976,0.0002571982,0.01143477,0.004211819,0.0003290969,0.001984033,0.00008785933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963102,0.002044068,0.00002662432,0.0008737496,0.0002327929,0.0004724776,0.00001127546,0.000004827641,0.00002403922],"genre_scores_gemma":[0.9981995,0.0001175332,0.001262547,0.00009931689,0.0002231322,0.00003024308,0.000009889482,0.00001146885,0.00004631774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680437,"threshold_uncertainty_score":0.2970946,"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."}}