{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007893078,0.0005050862,0.0004204586,0.003153009,0.001186746,0.001523942,0.001294248,0.001687355,0.00226084],"category_scores_gemma":[0.02060872,0.0003702786,0.0009343571,0.002044892,0.0008264434,0.001172198,0.001280977,0.0006822844,0.0002950021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740424,"about_ca_system_score_gemma":0.00170118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00843616,"about_ca_topic_score_gemma":0.0112962,"domain_scores_codex":[0.9936811,0.00394591,0.000664261,0.0002940242,0.001100741,0.0003139842],"domain_scores_gemma":[0.9580132,0.03636643,0.001257279,0.001286807,0.00267372,0.0004025145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003966155,0.0124535,0.3794768,0.009186616,0.0007551317,0.05879707,0.08108246,0.06223064,0.01438408,0.01130049,0.008669191,0.3576978],"study_design_scores_gemma":[0.002034463,0.01151284,0.2934604,0.004992568,0.002192108,0.02707541,0.0950263,0.4132642,0.06509003,0.01017085,0.0745262,0.0006546127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784385,0.0005092773,0.01482393,0.00030626,0.00001002103,0.00186195,0.0007569068,0.00007046365,0.003222729],"genre_scores_gemma":[0.9578232,0.0008350159,0.03804717,0.0001205146,0.00001526282,0.001328351,0.0006437635,0.000033091,0.001153612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00843616,"threshold_uncertainty_score":0.04174304,"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."}}