{"id":"W2531729500","doi":"10.1128/aac.01751-16","title":"Using MRSA Screening Tests To Predict Methicillin Resistance in Staphylococcus aureus Bacteremia","year":2016,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University Health Centre","funders":"","keywords":"Bacteremia; Staphylococcus aureus; Medicine; Methicillin-resistant Staphylococcus aureus; Vancomycin; Micrococcaceae; Internal medicine; Staphylococcal infections; Microbiology; Antibacterial agent; Antibiotics; Biology; Bacteria","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":[0.002264481,0.0006584633,0.0004989107,0.002540009,0.0002498776,0.0006842914,0.0005130353,0.0007448898,0.0007784991],"category_scores_gemma":[0.01209934,0.0003714903,0.0003636939,0.001055409,0.0005024926,0.000780594,0.0004036931,0.0007153204,0.0003820429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476473,"about_ca_system_score_gemma":0.0004505455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002424963,"about_ca_topic_score_gemma":0.003765922,"domain_scores_codex":[0.9984574,0.000603089,0.0002088766,0.0001542352,0.0003945353,0.0001818413],"domain_scores_gemma":[0.9926086,0.003732597,0.001729844,0.0001725727,0.0009184378,0.0008378497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008865999,0.00003762757,0.9965585,0.00001075301,0.00001310267,0.0001793186,0.00004437041,0.00009272686,0.0003224086,0.00000804206,0.00007795534,0.002566637],"study_design_scores_gemma":[0.00001222656,0.0003715951,0.994672,0.00002683969,0.00003085766,0.001334532,0.0001748776,0.002504777,0.0006092935,0.00004217932,0.0002105604,0.00001017159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972821,0.001079938,0.0004974047,0.00008734008,0.00003064864,0.00003524822,0.0001002334,0.00002318981,0.0008638311],"genre_scores_gemma":[0.9989803,0.0001987088,0.0005556772,0.00002917958,0.00002256835,0.00001184014,0.0001059514,0.00000187894,0.00009373816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002540009,"threshold_uncertainty_score":0.01197588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722442921702256,"score_gpt":0.314002980384744,"score_spread":0.2767785511677214,"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."}}