{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001918729,0.0009600194,0.0006430869,0.001071162,0.0002821898,0.0009250335,0.0007324989,0.001222455,0.007817287],"category_scores_gemma":[0.003542359,0.0004876237,0.0004974178,0.0005089908,0.0002833069,0.0005243029,0.0009272905,0.001249388,0.006104108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507152,"about_ca_system_score_gemma":0.0004464305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003117759,"about_ca_topic_score_gemma":0.0005168435,"domain_scores_codex":[0.9983693,0.0004908159,0.00009217286,0.0003015236,0.0006352157,0.0001111007],"domain_scores_gemma":[0.9984724,0.0005850329,0.0001948578,0.0001579129,0.0004501267,0.0001396011],"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":[0.0004573895,0.0001145573,0.00416859,0.0003450752,0.00006462694,0.0001061865,0.0000349564,0.0006190032,0.9465508,0.001162178,0.0113052,0.03507131],"study_design_scores_gemma":[0.00007659173,0.0004557242,0.008296553,0.00004627447,0.00005504975,0.0006616774,0.00003267661,0.01247332,0.9457583,0.001235639,0.03082659,0.00008161167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3369232,0.01001492,0.5737479,0.007072723,0.003792305,0.0009724117,0.03156309,0.01689391,0.01901957],"genre_scores_gemma":[0.5139127,0.003054925,0.4404185,0.001878605,0.0006169631,0.00106504,0.01721665,0.0010538,0.02078275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007817287,"threshold_uncertainty_score":0.02615148,"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."}}