{"id":"W4405933388","doi":"10.2196/66699","title":"An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Antibiotic therapy; Sepsis; Clinical decision support system; Antibiotics; Medicine; Decision support system; Intensive care medicine; Computer science; Artificial intelligence; Internal medicine; World Wide Web; Microbiology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860419,0.0003156135,0.0008323367,0.0009591715,0.0001142771,0.0002249466,0.0001055951,0.0002511188,0.0002125084],"category_scores_gemma":[0.0000539689,0.0002225287,0.0008345929,0.000816358,0.00006295664,0.000172197,0.00001486321,0.0002181626,0.00002591816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154819,"about_ca_system_score_gemma":0.0001145277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003035961,"about_ca_topic_score_gemma":0.0005073083,"domain_scores_codex":[0.9976437,0.0001152836,0.0008124877,0.0007370288,0.0003365731,0.0003549359],"domain_scores_gemma":[0.997825,0.0009502316,0.00009579479,0.000709669,0.0001133488,0.0003059464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001614004,0.001769225,0.9867952,0.0001392276,0.001037869,0.003043725,0.0002693939,0.00006659595,0.0000972572,0.000088929,0.001073198,0.005457914],"study_design_scores_gemma":[0.003346169,0.003159607,0.9812787,0.0003546548,0.001587601,0.00004369754,0.0004055562,0.005673237,0.002490637,0.00001012542,0.001350904,0.0002991653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975155,0.0000981138,0.0003057228,0.00009903309,0.0003138173,0.001307069,0.0001332067,0.0002023425,0.00002517321],"genre_scores_gemma":[0.9984505,0.00002162792,0.0004198738,0.0003351493,0.0001194876,0.00005057364,0.0004905223,0.00005932146,0.00005297856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005606642,"threshold_uncertainty_score":0.9074455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806193403835819,"score_gpt":0.4788178165667472,"score_spread":0.2981984761831654,"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."}}