{"id":"W2752111628","doi":"10.1093/ofid/ofx163.1562","title":"Clinical Impact of Rapid Identification (ID) and Phenotypic Antimicrobial Susceptibility Testing (AST) by Accelerate Pheno™ System (AXDX) for Gram-negative (GNB) Bloodstream Infections","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University Health Network; University of Toronto","funders":"","keywords":"ABX test; Medicine; Gram staining; Antibiotics; Blood culture; Antimicrobial; Microbiology; Bacilli; Gram; Bacteria; Biology","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":[0.002572776,0.0002569935,0.0003340438,0.0004596482,0.0002858576,0.0009356478,0.0002167897,0.0002713165,0.002993458],"category_scores_gemma":[0.01498521,0.0001420498,0.0002839416,0.0005730431,0.000403931,0.0006191544,0.0005633117,0.0005363536,0.0004545977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008790063,"about_ca_system_score_gemma":0.001017538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324722,"about_ca_topic_score_gemma":0.002996183,"domain_scores_codex":[0.9971302,0.001307532,0.000301162,0.0002481829,0.0008026678,0.0002102227],"domain_scores_gemma":[0.9895374,0.004363198,0.002003597,0.0003976601,0.002442711,0.001255468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004134504,0.0007961532,0.8637103,0.0001626533,0.00009095129,0.0008276026,0.000191614,0.000301637,0.002388733,0.0001182289,0.003339319,0.1239383],"study_design_scores_gemma":[0.00008542451,0.005961352,0.9853865,0.00009601028,0.0001392929,0.00224226,0.0003742848,0.0006978821,0.001509082,0.00008077008,0.003406734,0.00002039103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865328,0.004559675,0.000139629,0.0006984541,0.00009108365,0.00003947081,0.0002252507,0.00001920753,0.007694442],"genre_scores_gemma":[0.9983307,0.0007756258,0.0001965154,0.0001388414,0.00006566984,0.000005685622,0.0001693931,0.00000410736,0.0003134869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002993458,"threshold_uncertainty_score":0.01360631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346959817895554,"score_gpt":0.3512190682516561,"score_spread":0.3177494700727005,"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."}}