{"id":"W2920752436","doi":"10.3168/jds.2018-15766","title":"Technical note: Validation of an ear-tag accelerometer to identify feeding and activity behaviors of tiestall-housed dairy cattle","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Novalait; Dairy Farmers of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Rumination; Correlation; Dairy cattle; Multivariate statistics; Herd; Animal science; Accelerometer; Statistics; Audiology; Mathematics; Psychology; Medicine; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038777,0.0001166181,0.0003246478,0.0003242198,0.0001097573,0.00004846725,0.0004178456,0.00006085186,0.0000478533],"category_scores_gemma":[0.0001346222,0.00009678444,0.00008106369,0.00045722,0.0003240649,0.001303032,0.0002666473,0.000202714,0.000004394058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000707853,"about_ca_system_score_gemma":0.00009035197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005662731,"about_ca_topic_score_gemma":0.000003632686,"domain_scores_codex":[0.9984291,0.00004258365,0.0004222069,0.000218449,0.0006855993,0.0002020997],"domain_scores_gemma":[0.9988607,0.00006509685,0.0004264581,0.0002140437,0.0003013374,0.0001323403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001939362,0.0001142197,0.08665012,0.00002105849,0.00000319868,0.000007930664,0.0007086155,0.00000795698,0.9103156,0.000006661455,0.00001890932,0.001951755],"study_design_scores_gemma":[0.0002720479,0.002006212,0.881065,0.00006692129,0.00003743787,0.0001108144,0.0004271556,0.00001083199,0.1158856,0.000009582574,0.00001156275,0.00009690018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989524,0.00001392368,0.0003476931,0.0000760047,0.000273264,0.0001397268,0.00001262747,0.00001166242,0.0001727172],"genre_scores_gemma":[0.9978667,0.000005299698,0.002052749,0.00001011358,0.00003355033,0.000001364781,3.238221e-7,0.00001049254,0.00001937365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7944301,"threshold_uncertainty_score":0.3946755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479010980834773,"score_gpt":0.3880961289693315,"score_spread":0.3233060191609838,"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."}}