{"id":"W4309277383","doi":"10.3389/fphar.2022.977582","title":"Analysis of acute pancreatitis associated with SGLT-2 inhibitors and predictive factors of the death risk: Based on food and drug administration adverse event report system database","year":2022,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverse Event Reporting System; Food and drug administration; Medicine; Acute pancreatitis; Pancreatitis; Drug; Adverse effect; Pharmacology; Adverse drug reaction; Database; Intensive care medicine; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005043973,0.0004041727,0.001024255,0.006623696,0.0002799247,0.001150109,0.0006124837,0.0003643578,0.002140806],"category_scores_gemma":[0.01650121,0.0002107755,0.002204019,0.006257996,0.0002284461,0.0009659464,0.000916449,0.0005301486,0.0003673935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005215684,"about_ca_system_score_gemma":0.0008995095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292233,"about_ca_topic_score_gemma":0.002347406,"domain_scores_codex":[0.9936427,0.001237008,0.002312935,0.00123763,0.001252269,0.000317446],"domain_scores_gemma":[0.9739825,0.008515512,0.01367564,0.001174447,0.001992596,0.0006592604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002728062,0.00002578525,0.9961224,0.0001740115,0.0004095548,0.0001127983,0.00002513365,0.000166369,0.0000888963,0.0000272146,0.0003893476,0.00218552],"study_design_scores_gemma":[0.00003972923,0.0001142834,0.9942039,0.0000819131,0.0007201668,0.0008340027,0.0001497906,0.002573559,0.0002163881,0.0000622431,0.0009860228,0.00001807271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632235,0.003158024,0.001253914,0.0001438395,0.00002235989,0.0002079564,0.0310194,0.00005365533,0.0009173342],"genre_scores_gemma":[0.9701616,0.001028632,0.001575336,0.00006372919,0.00004261497,0.0002527893,0.02670833,0.00001305317,0.0001539326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006623696,"threshold_uncertainty_score":0.0266754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00693646368040624,"score_gpt":0.2486591707258362,"score_spread":0.24172270704543,"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."}}