{"id":"W1522246519","doi":"10.1111/j.1863-2378.2010.01358.x","title":"Use of a Bacterial Antimicrobial Resistance Gene Microarray for the Identification of Resistant <i>Staphylococcus aureus</i>","year":2010,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Biotechnology Research Institute; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; Microbiology; Microarray; Antibiotic resistance; Staphylococcus aureus; Gene; Antimicrobial; DNA microarray; Genotyping; Gene chip analysis; Bacteria; Genetics; Genotype; Antibiotics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003614562,0.0003890312,0.0004548814,0.0004165292,0.0003683516,0.000360686,0.0003494671,0.0004247178,0.001285274],"category_scores_gemma":[0.0003477683,0.0001654323,0.0002754805,0.000331908,0.0002272885,0.0002084947,0.0001762981,0.0003549476,0.000583729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524728,"about_ca_system_score_gemma":0.0004381253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004776698,"about_ca_topic_score_gemma":0.009932962,"domain_scores_codex":[0.9995753,0.00008375276,0.00001952285,0.0001238064,0.0001353846,0.00006222208],"domain_scores_gemma":[0.9998044,0.00006633913,0.00002219613,0.00001917571,0.00005515149,0.00003273444],"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":[0.00003147171,0.00001688125,0.0002939385,0.00002425226,0.000002969714,0.00001304969,0.000008253998,0.00005439784,0.9975256,0.00003030856,0.00006545577,0.001933311],"study_design_scores_gemma":[0.00001361319,0.0005556765,0.0141811,0.00001394825,0.00002957339,0.0003245813,0.00004248204,0.003330816,0.9763935,0.00007363325,0.005016963,0.00002404726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800802,0.002125573,0.1057009,0.0009045681,0.0001392663,0.0003006393,0.003123827,0.0009774517,0.006647546],"genre_scores_gemma":[0.7278831,0.001882375,0.2579681,0.000439606,0.00004687976,0.0004161998,0.003972255,0.00005356635,0.007337961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004776698,"threshold_uncertainty_score":0.009497762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737301906672262,"score_gpt":0.2626884846663143,"score_spread":0.2353154655995917,"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."}}