{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002099797,0.000190014,0.0002386686,0.00002355093,0.0001350418,0.00009636373,0.0001312159,0.0001063174,0.0003822882],"category_scores_gemma":[0.00004513188,0.00007269793,0.00003869904,0.0001230212,0.0001144748,0.0002006283,0.0001125713,0.00006714211,0.00002883839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003461876,"about_ca_system_score_gemma":0.000004504465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003557414,"about_ca_topic_score_gemma":0.002978579,"domain_scores_codex":[0.9987295,0.0001259256,0.0003003657,0.0004062777,0.0001381067,0.0002998457],"domain_scores_gemma":[0.999305,0.0003764188,0.00009119169,0.00008546792,0.00002520346,0.0001166951],"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":[0.00009987784,0.0000523026,0.02064496,0.00004372346,0.000004271411,0.00001425136,0.0002124793,1.682262e-7,0.916931,0.00002557476,0.00003700083,0.06193439],"study_design_scores_gemma":[0.0009315407,0.001138206,0.961078,0.0001989796,0.00001941822,0.0001570702,0.0003306911,0.00007533235,0.0246201,0.000597002,0.01038551,0.0004681434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985779,0.0001605047,0.0001672981,0.0003319081,0.0001326258,0.0002439,0.0001618153,0.00006309622,0.0001609632],"genre_scores_gemma":[0.9991606,0.0001324099,0.0002470772,0.0001533138,0.0001379038,0.00003990672,0.00001475885,0.000002466022,0.0001115058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.940433,"threshold_uncertainty_score":0.4185788,"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."}}