{"id":"W4409323093","doi":"10.3168/jds.2024-25195","title":"Water use dynamics with conventional and automated milking systems on a dairy farm","year":2025,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada","funders":"","keywords":"Milking; Automatic milking; Environmental science; Dynamics (music); Agricultural science; Animal science; Agricultural engineering; Engineering; Biology; Lactation; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002531889,0.0001694847,0.0002538764,0.0004462917,0.0006483451,0.0007350781,0.0004872836,0.0002499238,0.0005157664],"category_scores_gemma":[0.0007109143,0.0001538893,0.0002243116,0.001106562,0.0006351065,0.000302505,0.0004463154,0.0001779488,0.0000863233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008435087,"about_ca_system_score_gemma":0.003375212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7293648,"about_ca_topic_score_gemma":0.859467,"domain_scores_codex":[0.9994479,0.00004715041,0.00001541833,0.0001473247,0.0002148322,0.000127415],"domain_scores_gemma":[0.9994475,0.0000783232,0.00008674576,0.0000197496,0.0002699942,0.00009762532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006008115,0.0001807649,0.9465538,0.00004611511,0.00009975789,0.0002348384,0.001630877,0.002291958,0.03270489,0.0001206767,0.0002170993,0.01531844],"study_design_scores_gemma":[0.000005319874,0.0001096441,0.9952963,0.000002868423,0.0000123411,0.0000212988,0.001080389,0.001836905,0.001203306,0.00002104231,0.0004021555,0.000008429541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994971,0.00001561637,0.00008066507,0.000008329144,5.76962e-7,0.000007951766,0.0001065014,0.000003110208,0.0002801579],"genre_scores_gemma":[0.9986383,0.00004499155,0.0003712633,0.00002057872,0.000001164367,0.000009189586,0.0002117741,0.000002747453,0.0006999078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7293648,"threshold_uncertainty_score":0.5444582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020904192404435,"score_gpt":0.2236324828658037,"score_spread":0.2134234409417593,"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."}}