{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302327,0.0007017417,0.0005762033,0.002419287,0.000327071,0.00120652,0.0005583126,0.0004129144,0.0009391865],"category_scores_gemma":[0.01128911,0.000190346,0.0009232127,0.0008141145,0.0001898236,0.0006223901,0.0006538349,0.0007194723,0.0002830213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005767563,"about_ca_system_score_gemma":0.0009592728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503485,"about_ca_topic_score_gemma":0.001436823,"domain_scores_codex":[0.9989951,0.0003568434,0.0001433498,0.0001706887,0.0002682231,0.0000657514],"domain_scores_gemma":[0.9957305,0.002366243,0.0007124628,0.0001950382,0.0008554129,0.0001404347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000657863,0.0005966094,0.5710533,0.000191844,0.0005153682,0.0004992578,0.0002109972,0.16387,0.001755756,0.001282871,0.003185134,0.2561811],"study_design_scores_gemma":[0.00004002946,0.0003374027,0.05069902,0.00008840027,0.0001939384,0.000381422,0.00009144433,0.94225,0.001723391,0.003231021,0.0009228085,0.00004115188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628582,0.001016486,0.2283607,0.001620829,0.0001248565,0.0004537814,0.001090204,0.001536258,0.002938656],"genre_scores_gemma":[0.9298897,0.0002205359,0.06834503,0.00008509498,0.00004146992,0.00014347,0.0009653197,0.00002029419,0.0002891151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00302327,"threshold_uncertainty_score":0.01598877,"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."}}