{"id":"W2077233214","doi":"10.3168/jds.2007-0184","title":"Milking-to-Milking Variability for Milk Yield, Fat and Protein Percentage, and Somatic Cell Count","year":2008,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Milking; Morning; Herd; Lactation; Somatic cell count; Evening; Animal science; Milk fat; Biology; Food science; Ice calving; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008495059,0.0001924913,0.0002364869,0.0005255668,0.0002957371,0.0002961211,0.000260272,0.0001512095,0.0006542743],"category_scores_gemma":[0.001661672,0.000102553,0.0002015688,0.0006902142,0.000220078,0.0001632697,0.0002284019,0.0001397213,0.00009659487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000991701,"about_ca_system_score_gemma":0.0006360748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09932195,"about_ca_topic_score_gemma":0.1755474,"domain_scores_codex":[0.9995204,0.00008755765,0.00003244159,0.00009971399,0.0001719565,0.00008796524],"domain_scores_gemma":[0.9990765,0.0002781192,0.0002688758,0.00006195702,0.0002229229,0.0000915125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009110486,0.00001605363,0.9947306,0.000004852959,0.00004346509,0.00002905191,0.0001451232,0.00007372355,0.002618124,0.000007993153,0.00003691924,0.002203],"study_design_scores_gemma":[6.670921e-7,0.0000296357,0.9996485,4.008705e-7,0.000003308639,0.00001367721,0.00004494927,0.00009949545,0.0001205953,0.000002510274,0.00003553254,8.955807e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991862,0.00003641662,0.0002523924,0.000003997067,5.603621e-7,0.00001367977,0.0003292966,0.000005679728,0.0001715897],"genre_scores_gemma":[0.9981248,0.00002812473,0.0005417311,0.00001148138,0.000001595539,0.00002122177,0.0008977875,0.000002743792,0.0003706948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09932195,"threshold_uncertainty_score":0.1974877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359137474607573,"score_gpt":0.2501743678161162,"score_spread":0.2142606203553589,"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."}}