{"id":"W2969731307","doi":"10.1093/jac/dkz288","title":"Characterization of MRSA in Canada from 2007 to 2016","year":2019,"lang":"en","type":"article","venue":"Journal of Antimicrobial Chemotherapy","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Boniface Hospital; Public Health Agency of Canada; University of Manitoba; Health Sciences Centre","funders":"National Institutes of Health; Achaogen; Medicines Company; Zoetis; Diagnostic Services Manitoba; Canadian Institutes of Health Research; Sunovion; Bayer; University of Manitoba; AstraZeneca; Astellas Pharma US; Pfizer; Sanofi; Merck; Abbott Laboratories","keywords":"Methicillin-resistant Staphylococcus aureus; Clindamycin; Genotype; Medicine; Broth microdilution; Staphylococcus aureus; Multilocus sequence typing; Internal medicine; Trimethoprim; Veterinary medicine; Antibiotics; Microbiology; Biology; Minimum inhibitory concentration; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001652052,0.000155396,0.0006407545,0.0002019574,0.00001066421,0.000009868597,0.0001800655,0.00007977906,0.000644523],"category_scores_gemma":[0.00002954522,0.0001355918,0.0001223473,0.0002778959,0.00002394104,0.0001113371,0.00001608952,0.0002189007,0.00002003169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329077,"about_ca_system_score_gemma":0.001740546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08570945,"about_ca_topic_score_gemma":0.03624284,"domain_scores_codex":[0.9985529,0.00002693444,0.0007580513,0.0001538117,0.0002792378,0.000229046],"domain_scores_gemma":[0.9988219,0.00004675505,0.0005222108,0.0002117042,0.0002770128,0.000120425],"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":[0.00154856,0.00009970633,0.06300225,0.00003814604,0.000058399,0.00003553517,0.0001599274,0.00001830963,0.9239922,0.000001589581,0.009689854,0.001355503],"study_design_scores_gemma":[0.002936832,0.0001630673,0.1591418,0.0008480523,0.00001965687,0.00001588918,0.00004964738,0.000009651667,0.8167159,0.000003898006,0.01995354,0.0001421254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996054,0.00003844839,0.0002882598,0.002384742,0.000617041,0.0003069553,0.00005686312,0.00000339435,0.0002502809],"genre_scores_gemma":[0.9931324,0.0002788036,0.001617049,0.00431431,0.0002352674,3.443475e-7,0.00001233268,0.00003258102,0.0003769147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072764,"threshold_uncertainty_score":0.9813432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005275681166722559,"score_gpt":0.2244826154883992,"score_spread":0.2192069343216766,"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."}}