{"id":"W2983942472","doi":"10.1245/s10434-019-08067-3","title":"A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients","year":2019,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Surgical oncology; Medicine; Intrahepatic Cholangiocarcinoma; Resection; General surgery; Surgical resection; Radiology; Internal medicine; Oncology; 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":[0.001473989,0.0003566973,0.0005570722,0.001772493,0.0003924707,0.0007763762,0.0004199084,0.0004261585,0.001076597],"category_scores_gemma":[0.003503335,0.000217381,0.0009740346,0.001836677,0.0003310232,0.0006438476,0.0006878925,0.0005569678,0.0001656128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343557,"about_ca_system_score_gemma":0.0004431388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233512,"about_ca_topic_score_gemma":0.003281614,"domain_scores_codex":[0.9992606,0.0003289435,0.00009981155,0.0001305695,0.00008989043,0.00009014746],"domain_scores_gemma":[0.9971891,0.001152418,0.0009855324,0.0002440041,0.0001992721,0.0002296834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003240812,0.00003477611,0.9977441,0.000007093802,0.0001580945,0.0000207621,0.00003341638,0.0001624688,0.000203665,0.00001484429,0.00007496719,0.001221858],"study_design_scores_gemma":[0.00003431106,0.0002660574,0.9958032,0.000006410123,0.0001741823,0.0002154412,0.0002814475,0.002725134,0.0001948608,0.00006704391,0.0002223748,0.000009624854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990625,0.000142549,0.0002049288,0.00003994586,0.000005786202,0.000006492134,0.0003839245,0.000003243921,0.0001506226],"genre_scores_gemma":[0.9988773,0.00004405465,0.0002865066,0.00001869441,0.00001078837,0.000008858236,0.000697777,0.000002037373,0.00005390887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002233512,"threshold_uncertainty_score":0.007795334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493082228233297,"score_gpt":0.3301769788870161,"score_spread":0.2852461566046832,"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."}}