{"id":"W2579138124","doi":"10.1093/femsle/fnx001","title":"Biofilm formation and antimicrobial resistance genes of coagulase-negative staphylococci isolated from cows with mastitis in Argentina","year":2017,"lang":"en","type":"article","venue":"FEMS Microbiology Letters","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Universidad de Navarra; Universidad de Buenos Aires; Canadian Dairy Commission; Dairy Farmers of Canada","keywords":"Mastitis; Coagulase; Microbiology; Staphylococcus haemolyticus; Biology; Biofilm; SCCmec; Staphylococcus; Antimicrobial; Antibiotic resistance; Staphylococcus aureus; Antibiotics; Bacteria; Methicillin-resistant Staphylococcus aureus; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002608919,0.0002491541,0.0003435149,0.0006779223,0.0003388124,0.0004137154,0.0001468938,0.0002600114,0.0003760034],"category_scores_gemma":[0.0003948976,0.0001804146,0.0001868111,0.0006278292,0.0001717971,0.0001194702,0.0002349267,0.0001861858,0.00008257209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057407,"about_ca_system_score_gemma":0.0003685784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954879,"about_ca_topic_score_gemma":0.01898178,"domain_scores_codex":[0.999705,0.00003491957,0.00002589366,0.00006502437,0.0001012557,0.00006785339],"domain_scores_gemma":[0.999792,0.00002650908,0.00008901445,0.000005454814,0.00005692417,0.00002997988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008509834,0.0002775394,0.7323665,0.0001984888,0.0000607292,0.001248111,0.002119223,0.0001653245,0.2412134,0.00005960403,0.0003792836,0.02106087],"study_design_scores_gemma":[0.00001044214,0.0002546296,0.9934461,0.00002762048,0.00003807437,0.0008522072,0.0006852371,0.0002451927,0.003516086,0.00001670089,0.0009021358,0.000005626767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988632,0.000396909,0.0001013344,0.00002885653,0.000004278926,0.00001199594,0.0002794334,0.00000231738,0.0003116704],"genre_scores_gemma":[0.9979316,0.0004926374,0.0005420048,0.00003046068,0.000007529474,0.00001357467,0.0006609266,0.000001765364,0.0003195812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954879,"threshold_uncertainty_score":0.03887004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604141187713113,"score_gpt":0.2091990224770633,"score_spread":0.1931576105999322,"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."}}