{"id":"W4380769135","doi":"10.1245/s10434-023-13712-z","title":"ASO Visual Abstract: Development and Validation of a Machine Learning Model to Predict Early Recurrence of Intrahepatic Cholangiocarcinoma","year":2023,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Surgical oncology; Medicine; Intrahepatic Cholangiocarcinoma; General surgery; Internal medicine; Oncology; Medical physics","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":[0.003537836,0.001050153,0.0005385518,0.001457899,0.0003491298,0.001828077,0.0009267313,0.0009604014,0.009786621],"category_scores_gemma":[0.0112411,0.0002167099,0.0008517048,0.0004329401,0.0001483627,0.0005729931,0.0007539238,0.0006949343,0.003448958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269575,"about_ca_system_score_gemma":0.001199039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006372055,"about_ca_topic_score_gemma":0.006684902,"domain_scores_codex":[0.999202,0.0003124735,0.00006837476,0.0001340794,0.0002300386,0.00005308907],"domain_scores_gemma":[0.995783,0.002250921,0.0001899196,0.00021857,0.001358778,0.0001988192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004951097,0.001642834,0.1402562,0.0008490972,0.0008594281,0.0004325393,0.0001531381,0.1432813,0.01634731,0.00199365,0.172656,0.5165774],"study_design_scores_gemma":[0.0006113922,0.00100955,0.03767108,0.000174402,0.0003895544,0.0001883593,0.0001128246,0.9282055,0.01472136,0.002217479,0.01461481,0.00008372036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6959844,0.0029231,0.1997324,0.006718399,0.002756444,0.001659571,0.04288587,0.01029576,0.03704408],"genre_scores_gemma":[0.8694375,0.0005892641,0.07177091,0.0005839189,0.0006307103,0.0005870502,0.03273427,0.0006803021,0.02298612],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009786621,"threshold_uncertainty_score":0.03273958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09449845953616576,"score_gpt":0.3722956378798812,"score_spread":0.2777971783437154,"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."}}