{"id":"W2809891999","doi":"10.3168/jds.2018-14521","title":"Graduate Student Literature Review: Detecting health disorders using data from automatic milking systems and associated technologies","year":2018,"lang":"en","type":"review","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada; Canada First Research Excellence Fund; Canadian Dairy Commission; Dairy Farmers of Canada","keywords":"Rumination; Milking; Lameness; Herd; Lactation; Milk production; Psychology; Automatic milking; Medicine; Animal science; Veterinary medicine; Biology; Psychiatry; Ice calving","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004705678,0.0009554264,0.0029028,0.01286756,0.0006180215,0.002718576,0.001842843,0.002219291,0.007291206],"category_scores_gemma":[0.03142221,0.0006520632,0.002539034,0.01128864,0.0008735266,0.002621189,0.001320902,0.001593132,0.001686545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717502,"about_ca_system_score_gemma":0.009233977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006559802,"about_ca_topic_score_gemma":0.01200345,"domain_scores_codex":[0.9966091,0.0008928609,0.001104963,0.0003927312,0.0008752804,0.0001250565],"domain_scores_gemma":[0.9586134,0.03004082,0.003763379,0.0004923288,0.006696642,0.0003934531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001563955,0.00007063492,0.002157033,0.4571721,0.001089331,0.000311057,0.0004431665,0.0002548679,0.0004523073,0.0009130862,0.03038422,0.5065958],"study_design_scores_gemma":[0.00004413154,0.0002572524,0.009951164,0.5755696,0.004715957,0.00141984,0.0009263834,0.0001661754,0.0004712223,0.001247906,0.4051523,0.00007813945],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003522998,0.9967547,0.0002360235,0.001033892,0.0003731175,0.00006641919,0.0003507415,0.00001458385,0.0008182316],"genre_scores_gemma":[0.002010504,0.9954157,0.0007237187,0.0009202455,0.0002940057,0.00008126305,0.0003714394,0.000005486854,0.0001776294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01286756,"threshold_uncertainty_score":0.02488631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2571807932092235,"score_gpt":0.4690835050096511,"score_spread":0.2119027118004276,"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."}}