{"id":"W2243392272","doi":"","title":"Aspects on quarter milking in automated milking systems.","year":2005,"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; Quarter (Canadian coin); Automatic milking; Computer science; Animal science; Geography; Biology","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":[0.0006550527,0.0001289622,0.0001308273,0.0002080897,0.000252217,0.0006394656,0.0002474508,0.0002833982,0.001656535],"category_scores_gemma":[0.002069907,0.00007467783,0.0002117757,0.0002613039,0.0002334315,0.0002759373,0.0002290002,0.0001864031,0.0001422774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902312,"about_ca_system_score_gemma":0.0003046505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417359,"about_ca_topic_score_gemma":0.00441708,"domain_scores_codex":[0.9995655,0.0001761695,0.00002388442,0.00003354165,0.0001223536,0.00007854325],"domain_scores_gemma":[0.9988838,0.0005051164,0.000311459,0.00005315787,0.0001573951,0.00008898415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004745749,0.001015738,0.8422052,0.0004826574,0.0001414974,0.001447276,0.001565331,0.001698969,0.03038072,0.0006463081,0.001195692,0.114475],"study_design_scores_gemma":[0.0000205749,0.00184447,0.989698,0.00003592956,0.00005585956,0.0008056295,0.001085624,0.0007969569,0.003211038,0.0003180496,0.002120536,0.000007338068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958007,0.00209261,0.0002622867,0.0001590194,0.00001655024,0.00001288922,0.00006599035,0.000005169543,0.001584831],"genre_scores_gemma":[0.9984397,0.000731452,0.0001505349,0.00005622707,0.0000206751,0.000004155973,0.00007425662,0.00000161918,0.0005212801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004417359,"threshold_uncertainty_score":0.008783281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329298416221685,"score_gpt":0.2430487426480627,"score_spread":0.2197557584858459,"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."}}