{"id":"W7105639958","doi":"","title":"Stress-Induced Hyperglycemia as an Independent Predictor of Infectious Pancreatic Necrosis in Acute Pancreatitis: A Machine Learning-Driven Prognostic Model","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Pancreatitis Pathology and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Acute pancreatitis; Propensity score matching; General hospital; Medical record; Pancreatitis; Medical expenses; University hospital","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":[0.001934542,0.001084056,0.001068272,0.00147584,0.0003865423,0.001514569,0.0009821848,0.0007659373,0.001706186],"category_scores_gemma":[0.003791288,0.0003582057,0.001527927,0.0006779062,0.0002555007,0.0006872627,0.0007571934,0.001580258,0.0003998977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502223,"about_ca_system_score_gemma":0.001030919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004439389,"about_ca_topic_score_gemma":0.002269809,"domain_scores_codex":[0.9995882,0.0001434244,0.00003756493,0.00009878086,0.00005205167,0.00007998236],"domain_scores_gemma":[0.9983428,0.001017813,0.000197692,0.00008216434,0.0001829297,0.0001766317],"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":[0.002000581,0.0008119316,0.8470622,0.00009867636,0.0007201855,0.0006119448,0.0001108788,0.08489495,0.001040277,0.0006729044,0.00393024,0.05804526],"study_design_scores_gemma":[0.00007955255,0.0002136556,0.067452,0.00003774941,0.0002776429,0.0002637862,0.00006497529,0.9292268,0.0002328537,0.001719994,0.0003896187,0.00004137347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612572,0.002366679,0.03155686,0.001934613,0.0002337768,0.0001156341,0.00115543,0.0002522396,0.001127579],"genre_scores_gemma":[0.9945335,0.0005642998,0.00280061,0.000102633,0.0001432305,0.00006840969,0.001242958,0.00001532519,0.0005290323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004439389,"threshold_uncertainty_score":0.01023096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08178640212016156,"score_gpt":0.46932515793155,"score_spread":0.3875387558113884,"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."}}