{"id":"W4312211804","doi":"10.1093/jamiaopen/ooac105","title":"OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification","year":2022,"lang":"en","type":"article","venue":"JAMIA Open","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Sepsis; Pipeline (software); Generalizability theory; Computer science; Medicine; Reliability (semiconductor); SOFA score; Internal medicine; Statistics; Power (physics); Mathematics; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005076154,0.0001452593,0.0003406979,0.00006615239,0.0004870871,0.0002715812,0.0003300376,0.00004657144,0.0005553582],"category_scores_gemma":[0.00006747631,0.0001275736,0.0000598942,0.0001812658,0.0000239923,0.0002241466,0.0007926244,0.00009264837,0.00001592836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119943,"about_ca_system_score_gemma":0.0001380867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546441,"about_ca_topic_score_gemma":0.0001117457,"domain_scores_codex":[0.9987764,0.00008089935,0.0002815561,0.0004564918,0.0002015782,0.0002030197],"domain_scores_gemma":[0.9991754,0.00008558319,0.0001371465,0.0003962542,0.00008717524,0.0001184822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002082058,0.002359581,0.2334853,0.0001347219,0.0004264501,0.00003537504,0.001619154,0.001423391,0.003865545,0.00702257,0.6128128,0.134733],"study_design_scores_gemma":[0.01286239,0.0008495941,0.1500479,0.00008796208,0.000430692,0.00007256428,0.0008810571,0.07723064,0.001848737,0.0005359226,0.7547964,0.0003561242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139642,0.001326738,0.008358107,0.03883282,0.0004284963,0.01953022,0.0002677493,0.000120923,0.01717077],"genre_scores_gemma":[0.9610164,0.00006461739,0.006452025,0.005319779,0.000125721,0.003995154,0.00121495,0.00005800886,0.02175334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1419836,"threshold_uncertainty_score":0.6080782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2268574067430595,"score_gpt":0.405555724765615,"score_spread":0.1786983180225555,"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."}}