{"id":"W2886031729","doi":"10.1016/j.jevs.2018.07.006","title":"The Pretransport Management of Stress in Performance Horses","year":2018,"lang":"en","type":"article","venue":"Journal of Equine Veterinary Science","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health","funders":"","keywords":"Medicine; Heat stress; Horse; Thermography; Anesthesia; Animal science; Surgery; Biology; Infrared","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":[0.0005293503,0.0003826313,0.0002764023,0.0002894088,0.0007955309,0.00102492,0.0004092264,0.0008659113,0.001974145],"category_scores_gemma":[0.001392123,0.0001168086,0.0001902068,0.0001396546,0.0003037445,0.0003543624,0.0004316167,0.0007856382,0.0002614243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820353,"about_ca_system_score_gemma":0.0009679552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003830562,"about_ca_topic_score_gemma":0.007684218,"domain_scores_codex":[0.9997762,0.0000800761,0.00001129274,0.00001886149,0.00004178846,0.00007167598],"domain_scores_gemma":[0.999375,0.00009447157,0.0001480932,0.00001572129,0.0001338846,0.000232777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009416287,0.007967817,0.5630944,0.0007284401,0.0002573157,0.003528625,0.006739134,0.002033079,0.06507225,0.001449328,0.006943016,0.3327704],"study_design_scores_gemma":[0.0000410475,0.01254188,0.9686953,0.0004229495,0.00007290371,0.0007276842,0.006548697,0.001211444,0.003933653,0.0006744185,0.005094705,0.0000352083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939284,0.001047998,0.0006338483,0.0008057859,0.0001342093,0.00007371118,0.00005674802,0.00001415697,0.003305008],"genre_scores_gemma":[0.9968005,0.000785389,0.0006561555,0.000122664,0.0001060221,0.00007077816,0.00009163035,0.000004028541,0.001362871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003830562,"threshold_uncertainty_score":0.00761652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024319365231686,"score_gpt":0.4084142004026715,"score_spread":0.3059822638795028,"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."}}