{"id":"W2913757288","doi":"10.1016/j.jveb.2018.06.038","title":"Using accelerometers to automate the identification of the standing-rest position in a horse","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Behavior","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stridulation; Biology; Predation; Predator; Zoology; Cricket; Ecology; Orthoptera","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":[0.0001885276,0.0005323965,0.0002685486,0.0006319266,0.0001765961,0.0003701065,0.0003478795,0.0004840467,0.001352716],"category_scores_gemma":[0.0005906845,0.0002492415,0.0001579635,0.0003058914,0.0001048196,0.0001983424,0.0002941655,0.000282393,0.0009377585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173897,"about_ca_system_score_gemma":0.0002899076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316475,"about_ca_topic_score_gemma":0.01245081,"domain_scores_codex":[0.9998389,0.00002141404,0.00001153454,0.00005383262,0.00005076861,0.0000234395],"domain_scores_gemma":[0.9998086,0.00004471275,0.00003753446,0.00001550069,0.00007782951,0.00001580343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004712429,0.0002495878,0.06167971,0.0002543981,0.0001458335,0.000308265,0.0003647925,0.003921568,0.4589473,0.0002367895,0.003144368,0.4702761],"study_design_scores_gemma":[0.0001052292,0.0007439022,0.630631,0.0001243131,0.0001728966,0.001241817,0.0004463301,0.2495113,0.1078159,0.0008490936,0.008257343,0.000100789],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955523,0.000684884,0.2927478,0.0002686878,0.0002946481,0.0003191172,0.001606937,0.003258472,0.005267072],"genre_scores_gemma":[0.8973469,0.000282801,0.09811047,0.000134965,0.00006301652,0.00011788,0.0005746344,0.00006967947,0.003299691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004316475,"threshold_uncertainty_score":0.008582711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08359533634562201,"score_gpt":0.3209771589156669,"score_spread":0.2373818225700449,"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."}}