{"id":"W2112124660","doi":"10.1017/s175173111400247x","title":"Validation of triaxial accelerometers to measure the lying behaviour of adult domestic horses","year":2014,"lang":"en","type":"article","venue":"animal","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Accelerometer; Lying; Data logger; Medicine; Computer science","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":[0.003153425,0.0008911293,0.0004919654,0.0008025583,0.0002449842,0.0005000093,0.0007212675,0.0006786081,0.0005824643],"category_scores_gemma":[0.006989222,0.0003097408,0.0003451484,0.0005602556,0.0003842723,0.0004894571,0.0004669693,0.0003564699,0.0003781958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770096,"about_ca_system_score_gemma":0.0002719204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721796,"about_ca_topic_score_gemma":0.003794196,"domain_scores_codex":[0.9969358,0.00108844,0.0004027844,0.0004243788,0.001022123,0.0001264473],"domain_scores_gemma":[0.9957328,0.001014023,0.0008882531,0.0004010205,0.001848961,0.00011493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002219152,0.001067737,0.3826503,0.0005087278,0.0002175002,0.0002154093,0.001254485,0.002784565,0.4657044,0.0001801124,0.000843251,0.1423544],"study_design_scores_gemma":[0.00009101473,0.01135723,0.8554603,0.0001642804,0.0002326362,0.00107441,0.0005320203,0.01683609,0.1107036,0.0001028684,0.003376996,0.00006859017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431568,0.001061604,0.05225981,0.0001241228,0.0001370073,0.000615368,0.000831143,0.000225589,0.001588506],"genre_scores_gemma":[0.9413422,0.0008586692,0.05413494,0.0001704596,0.00005703726,0.000821916,0.001132277,0.00004072609,0.001441871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003153425,"threshold_uncertainty_score":0.01667714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134657954117439,"score_gpt":0.3973207937963842,"score_spread":0.2626628396789453,"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."}}