{"id":"W4220717688","doi":"10.3168/jds.2021-21381","title":"Efficacy of bacteriocin-based formula for reducing staphylococci, streptococci, and total bacterial counts on teat skin of dairy cows","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Novalait; Université Laval","keywords":"Nisin; Microbiology; Bacteriocin; Mastitis; Staphylococcus aureus; Colony-forming unit; Bacteria; Veterinary medicine; Biology; Medicine; Antimicrobial","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":[0.0003139365,0.0003333408,0.0005183151,0.0002833118,0.0002128181,0.0004628056,0.000312925,0.0004107013,0.0004539571],"category_scores_gemma":[0.0004028057,0.0001347611,0.0002884936,0.0001829935,0.0002081949,0.0002363937,0.0002597918,0.0005299134,0.00007394116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945261,"about_ca_system_score_gemma":0.0002910596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066092,"about_ca_topic_score_gemma":0.001849881,"domain_scores_codex":[0.9996595,0.00008181921,0.00002136475,0.00006196227,0.0001151128,0.00006024794],"domain_scores_gemma":[0.9997745,0.00003998794,0.00007931639,0.00001037055,0.00003043648,0.00006532812],"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":[0.001636692,0.0004851855,0.0009693254,0.00007824384,0.00001673905,0.00003668852,0.00004159487,0.00005127868,0.9922184,0.00001053773,0.00001911999,0.004436205],"study_design_scores_gemma":[0.0001937486,0.03020041,0.0445845,0.0000415158,0.0001558683,0.0002008884,0.0001955253,0.00120916,0.9215341,0.00003595498,0.001625525,0.00002270301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992146,0.0004499434,0.0001375222,0.00002698042,0.000007412855,0.00001249176,0.00002838263,0.000004940042,0.0001176721],"genre_scores_gemma":[0.9959056,0.0008812415,0.002110812,0.00008245464,0.00001798497,0.00002663503,0.00014191,0.000007682704,0.0008257445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066092,"threshold_uncertainty_score":0.002136886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291888524439234,"score_gpt":0.2619257332786032,"score_spread":0.2390068480342109,"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."}}