{"id":"W2616421542","doi":"10.3168/jds.2016-12478","title":"Prevalence of non-aureus staphylococci species causing intramammary infections in Canadian dairy herds","year":2017,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Novalait; Université de Montréal; Public Health Agency; Dairy Farmers of Ontario; Agriculture and Agri-Food Canada; Dairy Farmers of Nova Scotia; Public Health Agency of Canada; Dairy Farmers of Canada","keywords":"Mastitis; Biology; Staphylococcus aureus; Herd; Staphylococcus epidermidis; Veterinary medicine; Staphylococcus xylosus; Udder; Microbiology; Staphylococcus; Streptococcus dysgalactiae; Medicine; Animal science; Streptococcus agalactiae; Bacteria; Streptococcus; Genetics","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":[0.001003425,0.0004206532,0.0004237005,0.002380655,0.001677462,0.0008940634,0.00109103,0.0004173498,0.00133844],"category_scores_gemma":[0.002935426,0.0004242828,0.0004126055,0.002856234,0.0007235149,0.0002541465,0.0006321754,0.000350676,0.00009890221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01565384,"about_ca_system_score_gemma":0.01422486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803039,"about_ca_topic_score_gemma":0.9893242,"domain_scores_codex":[0.9988555,0.00008280272,0.00005611883,0.0002200112,0.0005422877,0.0002433628],"domain_scores_gemma":[0.998546,0.0001374641,0.000336198,0.00005563546,0.000597319,0.0003274793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000747114,0.00001267956,0.9937474,0.00004666153,0.00005057348,0.0000892638,0.0005990953,0.0001226468,0.0008467009,0.00005815867,0.0003327159,0.004019408],"study_design_scores_gemma":[0.000002903082,0.00003376676,0.9982308,0.0000243882,0.00002672077,0.0001080199,0.0005916952,0.0003421869,0.00009625604,0.00001448325,0.0005184551,0.00001041696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961408,0.0007413413,0.0001400305,0.00009987468,0.000005415372,0.00002485779,0.00160147,0.00001451957,0.001231653],"genre_scores_gemma":[0.9975802,0.0006790531,0.0004073819,0.00005007481,0.000003626339,0.000008829943,0.0008570596,0.000003924591,0.0004098932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969606,"threshold_uncertainty_score":0.1135771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886808699650234,"score_gpt":0.2741357228498456,"score_spread":0.2452676358533432,"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."}}