{"id":"W1523088122","doi":"10.1002/jso.23944","title":"Identifying candidates with favorable prognosis following liver transplantation for hepatocellular carcinoma: Data mining analysis","year":2015,"lang":"en","type":"article","venue":"Journal of Surgical Oncology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Liver transplantation; Transplantation; Internal medicine; Carcinoma; Oncology; General surgery","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":[0.002746846,0.0004851223,0.0009378243,0.002701663,0.0003422032,0.00107722,0.0007102333,0.0004575629,0.0003724434],"category_scores_gemma":[0.007341433,0.0001679893,0.001007605,0.001567622,0.0002157189,0.0004955081,0.0005026775,0.0004800244,0.0001608135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665616,"about_ca_system_score_gemma":0.0008047321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238316,"about_ca_topic_score_gemma":0.002981085,"domain_scores_codex":[0.9989895,0.0003584135,0.0001837749,0.0002311673,0.0001515322,0.00008562412],"domain_scores_gemma":[0.9944124,0.00379018,0.0008721862,0.000278519,0.0004223882,0.0002243506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003056326,0.0002433917,0.9579428,0.0001058824,0.0002702142,0.0002465552,0.00009376519,0.006565841,0.0009238985,0.0001280692,0.0008644075,0.0323095],"study_design_scores_gemma":[0.00006550555,0.0005447882,0.6479959,0.0001986427,0.0006090923,0.001806569,0.001011562,0.3389663,0.003899697,0.0026746,0.002181018,0.00004648247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835031,0.0005285513,0.01189786,0.000806862,0.0000260746,0.00009962479,0.002521738,0.000125827,0.0004904377],"genre_scores_gemma":[0.9862807,0.0001807213,0.009930709,0.00008164537,0.00002647709,0.0000536893,0.003357753,0.000006716768,0.00008168462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002746846,"threshold_uncertainty_score":0.0145269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505609094867191,"score_gpt":0.3325103653718214,"score_spread":0.1819494558851023,"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."}}