{"id":"W2989971043","doi":"10.1079/9781786399151.0126","title":"Robotic milking of dairy cows: behaviour and welfare.","year":2019,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Milking; Automatic milking; Welfare; Herd; Animal welfare; Automation; Animal science; Business; Computer science; Engineering; Economics; Biology; Lactation; Ecology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001993203,0.0003538133,0.0002622841,0.0005021735,0.0003131632,0.0009570354,0.0005717869,0.0006685978,0.009753166],"category_scores_gemma":[0.0002511449,0.0001413774,0.0002082564,0.0004786996,0.0003852087,0.0007695936,0.0005433666,0.0004506563,0.002695094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056394,"about_ca_system_score_gemma":0.0003246156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070951,"about_ca_topic_score_gemma":0.002902932,"domain_scores_codex":[0.9998988,0.00001497573,0.000003023319,0.00002631779,0.00004836125,0.000008526586],"domain_scores_gemma":[0.999934,0.00003311503,0.000008772139,0.000003522691,0.00001390801,0.000006677108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000809469,0.0001365776,0.001371617,0.002508879,0.00002513891,0.0002369412,0.001579117,0.000861891,0.01589967,0.01460712,0.06187117,0.900821],"study_design_scores_gemma":[0.000005737708,0.0002754747,0.01166882,0.001457802,0.00003004756,0.001796416,0.0009088452,0.000774495,0.003370755,0.008140472,0.9715452,0.00002600814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04714943,0.6248031,0.02391819,0.004884908,0.001871072,0.0001231244,0.0008745521,0.0004723374,0.2959034],"genre_scores_gemma":[0.114737,0.3507673,0.03272374,0.002752889,0.0008936818,0.0002296095,0.00107957,0.0002038121,0.4966124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009753166,"threshold_uncertainty_score":0.03262758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520999298709726,"score_gpt":0.2906546807693381,"score_spread":0.2354446877822409,"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."}}