{"id":"W2940347290","doi":"10.1128/mra.00133-19","title":"The Mastitis Pathogens Culture Collection","year":2019,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Université de Montréal; University of Guelph","keywords":"Mastitis; Pathogen; Veterinary medicine; Milk production; Biology; Mammary gland; Cohort; Microbiological culture; Animal science; Microbiology; Medicine; Bacteria; Internal medicine","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":[0.002202061,0.001056901,0.001520371,0.005290715,0.003268535,0.00236313,0.002815027,0.0006605406,0.01773672],"category_scores_gemma":[0.002586247,0.000766708,0.0005564815,0.005025716,0.0006740183,0.0004876772,0.002461136,0.001452004,0.01623231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003489571,"about_ca_system_score_gemma":0.01935294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3071469,"about_ca_topic_score_gemma":0.5149032,"domain_scores_codex":[0.9958645,0.0002141228,0.0003498593,0.0005336151,0.002520695,0.0005171285],"domain_scores_gemma":[0.9957376,0.0001307754,0.0002349367,0.0003104599,0.002977553,0.0006087694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002159671,0.001171659,0.08713204,0.002313869,0.0001455739,0.002066077,0.001430426,0.0006308252,0.1893939,0.002657247,0.5895759,0.1213228],"study_design_scores_gemma":[0.0002783235,0.0004492576,0.1480593,0.0006427761,0.0001401471,0.001178492,0.0005712257,0.0006303244,0.01892886,0.0002446968,0.8287843,0.00009226033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1096303,0.008881969,0.01553673,0.002165491,0.00107204,0.0174199,0.7728087,0.001817349,0.07066736],"genre_scores_gemma":[0.04866486,0.006264808,0.03270563,0.001372108,0.0003943301,0.00467024,0.8499948,0.0002937745,0.05563946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3071469,"threshold_uncertainty_score":0.6107181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00937919700516923,"score_gpt":0.1997653281889955,"score_spread":0.1903861311838263,"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."}}