{"id":"W2154985508","doi":"10.1002/hep.27787","title":"Total tumor volume and alpha‐fetoprotein for selection of transplant candidates with hepatocellular carcinoma: A prospective validation","year":2015,"lang":"en","type":"article","venue":"Hepatology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University; University of Alberta","funders":"Faculté de Médecine, Université de Genève; University of California, San Francisco; Fondation Artères; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Alberta; National Science Foundation","keywords":"Hepatocellular carcinoma; Alpha-fetoprotein; Medicine; Selection (genetic algorithm); Volume (thermodynamics); Oncology; Prospective cohort study; Internal medicine; Carcinoma; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001739407,0.0001996714,0.0004831807,0.0001356351,0.00005948792,0.000009228956,0.00003308203,0.0001104702,0.00003087935],"category_scores_gemma":[0.0000290513,0.0001590486,0.00006969394,0.0001532286,0.0001158219,0.00008321206,0.00001105576,0.00009544242,0.000006334342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009660741,"about_ca_system_score_gemma":0.0002677774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007454312,"about_ca_topic_score_gemma":0.00008719067,"domain_scores_codex":[0.9988927,0.00006416557,0.0002614224,0.0003497542,0.0001617007,0.0002702036],"domain_scores_gemma":[0.99927,0.00003731674,0.000119562,0.0001346795,0.0002662508,0.0001721787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002006056,0.0001620995,0.9916344,0.000184779,0.0001292715,0.0001278897,0.0006173721,2.488799e-7,0.00458489,0.0002284803,0.00009919403,0.0002252934],"study_design_scores_gemma":[0.01482644,0.01120676,0.1770654,0.0001250669,0.001461217,0.0042093,0.0002676783,0.1397752,0.6490805,0.0004888978,0.0009660253,0.0005274646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953079,0.0005102283,0.001742271,0.00030787,0.00004800583,0.001855655,0.00004457669,0.00004349069,0.0001400171],"genre_scores_gemma":[0.9970826,0.000008387274,0.001955309,0.00003016503,0.00005696552,0.0004478401,0.0001595923,0.00003028753,0.0002288853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.814569,"threshold_uncertainty_score":0.6485814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195310951690165,"score_gpt":0.2334525128658346,"score_spread":0.2014994033489329,"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."}}