{"id":"W3015471088","doi":"10.1016/j.pan.2020.03.018","title":"Hypertriglyceridemia-induced acute pancreatitis: A prospective, multicenter, international cohort analysis of 716 acute pancreatitis cases","year":2020,"lang":"en","type":"article","venue":"Pancreatology","topic":"Pancreatitis Pathology and Treatment","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Magyar Tudományos Akadémia; Emberi Eroforrások Minisztériuma; Ontario Ministry of Economic Development and Innovation","keywords":"Medicine; Acute pancreatitis; Hypertriglyceridemia; Pancreatitis; Prospective cohort study; Internal medicine; Gastroenterology; Intensive care medicine; Triglyceride","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001601812,0.0005471135,0.002504794,0.0005548351,0.0001369687,0.0000198717,0.0003017937,0.0004149922,0.001024471],"category_scores_gemma":[0.0005699465,0.0004880993,0.0006747661,0.00117041,0.0003404964,0.0001854664,0.0001614271,0.0004147243,0.000135273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181672,"about_ca_system_score_gemma":0.0001998032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008608402,"about_ca_topic_score_gemma":0.0001069517,"domain_scores_codex":[0.9966486,0.0002385056,0.0009534483,0.001085334,0.0004411342,0.0006330393],"domain_scores_gemma":[0.9975913,0.0004429239,0.0004583823,0.0006536223,0.0004035987,0.0004502232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002263543,0.0004517763,0.9335489,0.00003997211,0.03965601,0.009973441,0.0004120336,0.000005376843,0.01147503,0.0008377943,0.0004247285,0.0009114199],"study_design_scores_gemma":[0.006641519,0.001652682,0.9157989,0.00007548512,0.04783808,0.004234901,0.0001094038,0.001244072,0.02122738,0.00004050556,0.0006963489,0.0004407211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860185,0.0005965846,0.0004828144,0.001564003,0.0003053764,0.001101946,0.0009437057,0.0002383661,0.008748722],"genre_scores_gemma":[0.9908694,0.002139564,0.003415264,0.001490813,0.0001731127,0.000393634,0.001058543,0.00005744096,0.0004022006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774998,"threshold_uncertainty_score":0.9998887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083343697628616,"score_gpt":0.3012500214304396,"score_spread":0.2804165844541535,"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."}}