{"id":"W4407368349","doi":"10.1097/mpa.0000000000002476","title":"Performance of Clinical Risk Prediction Models for Post-ERCP Pancreatitis: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Pancreas","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Calgary; Alberta Health Services; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Receiver operating characteristic; Logistic regression; Predictive modelling; MEDLINE; CINAHL; Risk assessment; Meta-analysis; Pancreatitis; Machine learning; Usability; Intensive care medicine; Statistics; Internal medicine; Computer science; Psychological intervention; Mathematics","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":[0.01886574,0.002247031,0.008909182,0.01328431,0.0005697794,0.003170385,0.003394823,0.001975633,0.003130677],"category_scores_gemma":[0.109793,0.001230276,0.01592311,0.01139808,0.0008860629,0.003522469,0.001413736,0.001640109,0.0003075923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003866709,"about_ca_system_score_gemma":0.009578701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009438973,"about_ca_topic_score_gemma":0.0164793,"domain_scores_codex":[0.9849953,0.005782221,0.005057127,0.001042546,0.002890566,0.0002323323],"domain_scores_gemma":[0.8696685,0.1090239,0.01465562,0.001059847,0.005205043,0.0003870026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004710923,0.0000425002,0.004845984,0.9042964,0.02683655,0.000101863,0.0002006718,0.0006272222,0.00005036907,0.0002723396,0.001377534,0.06087755],"study_design_scores_gemma":[0.0005004097,0.0003191071,0.01021271,0.8016546,0.1764758,0.0004169875,0.0002626076,0.001242715,0.0001767271,0.0006217089,0.008014614,0.0001019459],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002162662,0.9959054,0.0004570926,0.0003065712,0.00007170513,0.0003542153,0.0004916993,0.00002486714,0.000225736],"genre_scores_gemma":[0.05709286,0.938051,0.002565183,0.000445432,0.0001336993,0.0008989156,0.0006987958,0.00001617003,0.0000979054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01886574,"threshold_uncertainty_score":0.09977281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05368622327786916,"score_gpt":0.3737226877254525,"score_spread":0.3200364644475833,"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."}}