{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006218112,0.002355687,0.001506749,0.007031022,0.001125021,0.003943488,0.002917863,0.001452285,0.02445772],"category_scores_gemma":[0.04336934,0.001483114,0.003069252,0.003996548,0.0006914522,0.003402498,0.007128037,0.002498287,0.02435184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124424,"about_ca_system_score_gemma":0.004911005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006612868,"about_ca_topic_score_gemma":0.007413291,"domain_scores_codex":[0.9954887,0.0008053332,0.0007556118,0.001301568,0.00133642,0.0003122921],"domain_scores_gemma":[0.9859799,0.00702685,0.001362597,0.002382903,0.002642412,0.0006054575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001888127,0.0002725142,0.03860106,0.004391756,0.001022451,0.001222557,0.001467625,0.007810873,0.007658738,0.01006151,0.6723904,0.2532124],"study_design_scores_gemma":[0.0005274119,0.0002783133,0.04251727,0.001483881,0.0004023239,0.001659291,0.0006929962,0.08953685,0.02599828,0.05796552,0.7782177,0.0007202043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.007689743,0.001011591,0.2511318,0.001312201,0.0004790138,0.00120421,0.2633774,0.4668582,0.006935797],"genre_scores_gemma":[0.06499162,0.001223746,0.2868091,0.001512947,0.0003764419,0.002779349,0.5873035,0.04861686,0.006386431],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02445772,"threshold_uncertainty_score":0.08181924,"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."}}