{"id":"W3049412722","doi":"10.3748/wjg.v26.i30.4453","title":"Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence","year":2020,"lang":"en","type":"article","venue":"World Journal of Gastroenterology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Pancreatic fistula; Pancreaticoduodenectomy; Medicine; Pancreas; Internal medicine; Gastroenterology; 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":[0.0006169575,0.0001797842,0.0009229615,0.0002758383,0.00009070975,0.00001660827,0.0001423832,0.00009013511,0.0002338716],"category_scores_gemma":[0.0004666813,0.0001449267,0.0002694556,0.0001915027,0.00018232,0.0001173011,0.00004776326,0.0005222345,0.00001014263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388361,"about_ca_system_score_gemma":0.0001443581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001255285,"about_ca_topic_score_gemma":0.00005131514,"domain_scores_codex":[0.9980102,0.0001249344,0.0009104607,0.0002192071,0.000280746,0.0004544044],"domain_scores_gemma":[0.9985586,0.0001994209,0.0004736299,0.0001522143,0.0003026767,0.0003134141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02926699,0.0002083512,0.964559,0.0001148799,0.0006102497,0.0001692942,0.0003267206,0.0001419863,0.00103117,0.0001073855,0.0005548122,0.002909187],"study_design_scores_gemma":[0.0115171,0.0536182,0.7507746,0.0009331102,0.008982764,0.00513335,0.001474507,0.1517618,0.002319363,0.007311183,0.005708023,0.0004659288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741634,0.0001925591,0.1227826,0.002162468,0.0001930639,0.0003822908,0.00003224324,0.00001464441,0.00007671919],"genre_scores_gemma":[0.9755321,0.000160725,0.02206821,0.001127765,0.001018591,0.00002250096,0.000006995248,0.00002439018,0.00003877809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2137844,"threshold_uncertainty_score":0.5909939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820117276846064,"score_gpt":0.3312636572729006,"score_spread":0.27306248450444,"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."}}