{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554535,0.0001612238,0.0005777456,0.000262356,0.00008289015,0.00001277836,0.0001118344,0.00008289974,0.00001655961],"category_scores_gemma":[0.0000558169,0.00009081244,0.0001115603,0.0005217703,0.0001710588,0.0001272156,0.00004238859,0.0001175566,5.451221e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007202361,"about_ca_system_score_gemma":0.0001020031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658889,"about_ca_topic_score_gemma":0.0005336383,"domain_scores_codex":[0.9987466,0.00007242801,0.0003041465,0.0003226249,0.0003727392,0.0001814982],"domain_scores_gemma":[0.998181,0.0002039169,0.0002226513,0.0001562408,0.001138597,0.0000975385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005461639,0.001982867,0.9869623,0.00003899651,0.002027867,0.000002205042,0.0005317451,0.001078774,0.00001782188,0.0002335813,0.00006395263,0.001598254],"study_design_scores_gemma":[0.007278924,0.00525757,0.9805763,0.00004742235,0.0006130776,0.000001434152,0.00008770392,0.005290252,0.00006679915,0.000002204303,0.0006740987,0.0001041661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965124,0.00006711731,0.0003813501,0.00100133,0.00005062668,0.0009662459,0.0003197383,0.000009135754,0.0006921107],"genre_scores_gemma":[0.9982327,0.00001930813,0.0003489347,0.0003315525,0.000023066,0.00009799434,0.0008845243,0.00001130801,0.0000506203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006385947,"threshold_uncertainty_score":0.3703224,"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."}}