{"id":"W3152626649","doi":"10.1101/2021.04.09.21255220","title":"Metabolic Preference Assay for Rapid Diagnosis of Bloodstream Infections","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Antimicrobial; Septic shock; Medicine; Antibiotics; Bloodstream infection; Antimicrobial stewardship; Timeline; Biology; Internal medicine; Intensive care medicine; Sepsis; Microbiology; Antibiotic resistance","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":[0.0004667713,0.0001769062,0.000300455,0.00005236366,0.00005808597,0.00005765475,0.0002444823,0.0002943123,0.0001036099],"category_scores_gemma":[0.001736588,0.0001860335,0.0002575891,0.0000820107,0.00005978258,0.000002634106,0.0003310292,0.0001400704,0.000001728863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006268107,"about_ca_system_score_gemma":0.0001796701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008345098,"about_ca_topic_score_gemma":0.0002200081,"domain_scores_codex":[0.9986749,0.0001709818,0.0003829336,0.0005269253,0.00009001561,0.0001542583],"domain_scores_gemma":[0.9984862,0.00007584129,0.0002488353,0.0007367597,0.0003902419,0.00006216321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000972931,0.0003986717,0.311262,0.0002885897,0.0002166985,2.799477e-7,0.00008348974,0.00003963922,0.6815283,0.00005840167,0.0003241647,0.005790025],"study_design_scores_gemma":[0.000277833,0.00009077531,0.1271279,0.00008485958,0.0001766898,0.00000215852,0.00005535764,0.00005204201,0.8577405,0.0001120805,0.01401402,0.0002658303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949175,0.001170824,0.002288952,0.00009657614,0.0007201011,0.0004090396,0.0001676527,0.00002122093,0.0002081229],"genre_scores_gemma":[0.9952039,0.0009626055,0.001843247,0.00003354348,0.0002496633,0.0004837034,0.0009665412,0.00002298062,0.0002337931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1841341,"threshold_uncertainty_score":0.7586225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630917577846647,"score_gpt":0.2897610329042937,"score_spread":0.2434518571258272,"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."}}