{"id":"W2560406905","doi":"10.1590/s0100-736x2016000900004","title":"Somatic cell count and mastitis pathogen detection in composite and single or duplicate quarter milk samples","year":2016,"lang":"en","type":"article","venue":"Pesquisa Veterinária Brasileira","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Universidade Federal de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Mastitis; Somatic cell count; Udder; Quarter (Canadian coin); Gold standard (test); Medicine; Veterinary medicine; California mastitis test; Enumeration; Biology; Mathematics; Internal medicine; Lactation; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004678746,0.0003839484,0.0005475507,0.001316086,0.0002807091,0.00108305,0.0003283719,0.000538387,0.0009483624],"category_scores_gemma":[0.00646465,0.0002389982,0.000340592,0.000852886,0.0004432121,0.0003728264,0.0005304314,0.0003412544,0.0001919158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699388,"about_ca_system_score_gemma":0.0003268967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637335,"about_ca_topic_score_gemma":0.001686752,"domain_scores_codex":[0.996521,0.0007120831,0.0004193229,0.0006799069,0.001499584,0.0001681492],"domain_scores_gemma":[0.9946525,0.002128966,0.001341741,0.0002935688,0.001274091,0.0003091251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001330444,0.0001328676,0.919824,0.0001222794,0.0001067065,0.0001019333,0.000300854,0.000315446,0.0666969,0.0000417476,0.00007079353,0.01095598],"study_design_scores_gemma":[0.00001207636,0.001098259,0.9614323,0.00002066244,0.00007455846,0.0005708231,0.0002830553,0.003738608,0.03251308,0.00003998275,0.0002033567,0.00001327582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980029,0.0002191359,0.001395713,0.000007461088,0.000006070967,0.00002104397,0.00008931309,0.00001515278,0.0002431229],"genre_scores_gemma":[0.9963427,0.00004950075,0.003266468,0.00001216661,0.000004256816,0.00001407326,0.0001210021,0.000003329939,0.0001864938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004678746,"threshold_uncertainty_score":0.02474385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956771762729006,"score_gpt":0.230138487716913,"score_spread":0.190570770089623,"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."}}