{"id":"W7112206464","doi":"","title":"Changes in quarter yield and milking frequency - importance for handling mastitis in herds with AMS","year":2006,"lang":"en","type":"article","venue":"","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Milking; Herd; Quarter (Canadian coin); Yield (engineering); Mastitis","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":[0.0006118419,0.0001601625,0.0002732179,0.0005550613,0.0003978932,0.0003963053,0.0002534095,0.0004846296,0.001321006],"category_scores_gemma":[0.002336087,0.0002196654,0.0003460535,0.0004571887,0.0003728785,0.0004039056,0.0002919988,0.000422885,0.0001442626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274338,"about_ca_system_score_gemma":0.0002293995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004686578,"about_ca_topic_score_gemma":0.007921867,"domain_scores_codex":[0.9996972,0.00008210479,0.00003206842,0.00005726293,0.00004625826,0.00008512231],"domain_scores_gemma":[0.9987454,0.0003240354,0.0005179517,0.0000618627,0.0001097533,0.0002409683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006690509,0.00007991382,0.9963684,0.000005261386,0.00003894195,0.00007415729,0.00008535093,0.00005804492,0.00170716,0.00001065923,0.00002314599,0.000879796],"study_design_scores_gemma":[0.000001309162,0.0001166801,0.9996244,3.95481e-7,0.000005319685,0.00005841514,0.00006157637,0.00007662272,0.00003701379,0.000005643174,0.00001169842,8.951058e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998696,0.00002934879,0.00001370321,0.000006906715,0.000001039118,6.843356e-7,0.00002440265,7.403441e-7,0.0000534714],"genre_scores_gemma":[0.9998201,0.0000122811,0.00002717902,0.000006055715,0.000002459297,0.000001332818,0.00004834937,4.955082e-7,0.0000817421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004686578,"threshold_uncertainty_score":0.00931859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121182044850582,"score_gpt":0.2139353026644618,"score_spread":0.192723482215956,"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."}}