{"id":"W1993655959","doi":"10.3168/jds.2006-567","title":"The Effect of Season on Somatic Cell Count and the Incidence of Clinical Mastitis","year":2007,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Prince Edward Island","funders":"","keywords":"Mastitis; Somatic cell count; Streptococcus uberis; Streptococcus agalactiae; Herd; Incidence (geometry); Streptococcus dysgalactiae; Udder; Pathogen; Biology; Somatic cell; Veterinary medicine; Lactation; Animal science; Medicine; Streptococcus; Immunology; Microbiology; Bacteria; Genetics; Gene; Pregnancy; Mathematics; Ice calving","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01735364,0.00007750116,0.0002832881,0.00001564158,0.0002895297,0.00004126544,0.0007445278,0.00004208781,0.0000195952],"category_scores_gemma":[0.002439619,0.00001879079,0.0001265553,0.0003575711,0.001853177,0.0001762386,0.00010688,0.0002228679,0.000001693417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001243341,"about_ca_system_score_gemma":0.00004426474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004360823,"about_ca_topic_score_gemma":0.0001064373,"domain_scores_codex":[0.9978845,0.0002983859,0.0007367452,0.0001188646,0.0007753051,0.0001861872],"domain_scores_gemma":[0.9924512,0.006393607,0.0008046146,0.0000873458,0.0001625596,0.0001006829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004237103,0.00028268,0.3288362,0.0001614915,0.00004317704,0.00004876649,0.001145873,0.0001155295,0.09327728,0.008590569,0.002042513,0.5612189],"study_design_scores_gemma":[0.001344461,0.004655472,0.9548047,0.0003094266,0.00004065079,0.00008766618,0.0006864431,0.0003103971,0.03260455,0.001600569,0.003439523,0.0001161095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972482,0.0004369267,0.00003778972,0.0007231025,0.0004226231,0.0001175357,0.000004102626,0.000002221798,0.00100748],"genre_scores_gemma":[0.9993515,0.000265727,0.00009148191,0.00009688489,0.0001386666,4.593925e-7,1.052934e-7,3.205477e-7,0.00005485313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6259686,"threshold_uncertainty_score":0.6828107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288719238483014,"score_gpt":0.3040374293723801,"score_spread":0.2811502369875499,"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."}}