{"id":"W4377968762","doi":"10.1016/j.jevs.2023.104338","title":"36 Validation of a smart textile device for heart rate variability in horses at rest","year":2023,"lang":"en","type":"article","venue":"Journal of Equine Veterinary Science","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Heart rate variability; Heart rate; Medicine; Cardiology; Limits of agreement; Mathematics; Biomedical engineering; Internal medicine; Statistics; Simulation; Computer science; Nuclear medicine","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":[0.00102136,0.0005913359,0.0004764203,0.0005836798,0.0002270646,0.000821218,0.000649493,0.001176421,0.002500145],"category_scores_gemma":[0.001846998,0.0002150064,0.0004433332,0.0002738467,0.0003496936,0.0003756699,0.0004479429,0.0002931863,0.001034759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476042,"about_ca_system_score_gemma":0.000233411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003641965,"about_ca_topic_score_gemma":0.0004634474,"domain_scores_codex":[0.9989172,0.0003207953,0.00009803832,0.0002400291,0.0003620863,0.00006181996],"domain_scores_gemma":[0.9989339,0.0003554616,0.0001447492,0.0001387794,0.0003354154,0.00009160369],"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":[0.002314291,0.0007016803,0.03887215,0.0009010775,0.0002086911,0.0005960736,0.0007175211,0.001343648,0.8433855,0.0003374049,0.001767935,0.108854],"study_design_scores_gemma":[0.0005909379,0.0224267,0.4198777,0.0004941421,0.001063987,0.006876004,0.001306828,0.04971894,0.4693488,0.001054537,0.0268794,0.0003619557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677332,0.001457807,0.1230924,0.0003971722,0.0007206742,0.0006136594,0.001658178,0.001031641,0.003295284],"genre_scores_gemma":[0.9557463,0.0004900806,0.03856849,0.0003448075,0.0001235564,0.0003715533,0.0006311625,0.00007120474,0.003652962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002500145,"threshold_uncertainty_score":0.008363843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969478758782123,"score_gpt":0.4512834465676198,"score_spread":0.2543355706894075,"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."}}