{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001433986,0.0001576248,0.0002769099,0.00002288039,0.0002605117,0.00004785716,0.0002745564,0.0001226419,0.00008996451],"category_scores_gemma":[0.0000353025,0.00007586204,0.00003899552,0.00007304433,0.0004997163,0.0002019291,0.00009949235,0.0001244678,0.000006856843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001733416,"about_ca_system_score_gemma":0.000005946436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549647,"about_ca_topic_score_gemma":0.01815915,"domain_scores_codex":[0.9989999,0.0001263044,0.0002776473,0.0003065938,0.00003903763,0.0002505098],"domain_scores_gemma":[0.9993489,0.0001214498,0.0003325184,0.0001186656,0.00004185983,0.00003657207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002163355,0.00002955637,0.0206758,0.00001520503,0.00001993536,0.00001373425,0.0001776332,0.000003458298,0.9760683,0.00004125513,0.001446932,0.001291811],"study_design_scores_gemma":[0.001816798,0.0002888477,0.5007787,0.0004087091,0.00003283971,0.0000296326,0.000310546,0.00003589915,0.4837837,0.0002021729,0.01172682,0.0005852954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962181,0.0001146611,0.00007471722,0.002184402,0.0001292721,0.0002511306,0.0009102377,0.00001785238,0.00009959831],"genre_scores_gemma":[0.9982696,0.0001058489,0.0006578795,0.000542826,0.00005732193,0.000008561499,0.000301448,0.000001398443,0.00005509004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4922846,"threshold_uncertainty_score":0.9997569,"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."}}