{"id":"W2786385253","doi":"10.3168/jds.2017-13686","title":"Behavior and productivity of cows milked in automated systems before diagnosis of health disorders in early lactation","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Calgary; University of Guelph","funders":"Agriculture and Agri-Food Canada; Canadian Dairy Commission; Dairy Farmers of Canada; Canada First Research Excellence Fund; University of Guelph","keywords":"Milking; Lactation; Mastitis; Rumination; Medicine; Ice calving; Herd; Animal science; Automatic milking; Somatic cell count; Biology; Pregnancy; Veterinary medicine","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":[0.000569711,0.0001336398,0.0001692793,0.0005153376,0.0002336579,0.0004177695,0.0001821289,0.0002029583,0.0006670738],"category_scores_gemma":[0.002109043,0.000145816,0.0001958974,0.0002862683,0.0002007169,0.0002169843,0.000277437,0.0002179073,0.0001409823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005708187,"about_ca_system_score_gemma":0.0002429608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007567136,"about_ca_topic_score_gemma":0.01480367,"domain_scores_codex":[0.9996389,0.0001113861,0.00002256196,0.00006761701,0.00007385566,0.00008568517],"domain_scores_gemma":[0.9985597,0.0003922032,0.0006155286,0.000063509,0.0001391754,0.0002299432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264897,0.00006027674,0.997164,0.000003101516,0.0000194276,0.00003581135,0.0001228326,0.00004738658,0.0008466165,0.000004645809,0.00002657844,0.001542816],"study_design_scores_gemma":[0.000001484159,0.000147081,0.9994199,0.000001152971,0.000003153564,0.00003160575,0.00009692761,0.0001868936,0.00006933614,0.000003463397,0.00003778202,0.000001203574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998499,0.00002052943,0.00002667048,0.000006456805,6.143275e-7,0.000001352715,0.00003868423,0.000001064083,0.00005473163],"genre_scores_gemma":[0.9996058,0.00001831695,0.00006939965,0.000008155847,0.000001645589,0.000002442742,0.0001252085,4.692153e-7,0.000168525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007567136,"threshold_uncertainty_score":0.01504618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0399052309394539,"score_gpt":0.3536988768661972,"score_spread":0.3137936459267433,"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."}}