{"id":"W4210650711","doi":"10.1002/vetr.1378","title":"Use of health parameter trends to communicate pet health information in companion animal practice: A mixed methods analysis","year":2022,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Overweight; Odds ratio; Odds; Confidence interval; Logistic regression; Exploratory analysis; Companion animal; Veterinary medicine; Family medicine; One Health; Obesity; Public health; Nursing; Pathology; Internal medicine; Data 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":[0.04912544,0.0005879219,0.0008965719,0.006068964,0.001508152,0.002286339,0.00115444,0.0008712137,0.001843681],"category_scores_gemma":[0.07627548,0.0006590101,0.002426083,0.004868094,0.001131757,0.001698498,0.002358894,0.0006480671,0.0001976683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002700926,"about_ca_system_score_gemma":0.004105813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005774982,"about_ca_topic_score_gemma":0.007599347,"domain_scores_codex":[0.9540198,0.03353462,0.004914756,0.001681645,0.00484667,0.001002547],"domain_scores_gemma":[0.9006906,0.07851809,0.01046044,0.003143243,0.006438138,0.00074946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001067256,0.001027965,0.8037723,0.003317805,0.002003096,0.0003756988,0.0971342,0.000520491,0.001641939,0.0007828499,0.0007203933,0.08763602],"study_design_scores_gemma":[0.0002426557,0.005341433,0.8159708,0.002318958,0.001872625,0.0005945012,0.1565254,0.008791192,0.002469258,0.0009228409,0.004793156,0.0001571904],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861215,0.000840969,0.008769661,0.0002129331,0.00001719915,0.002875616,0.0005115849,0.00002243811,0.0006282235],"genre_scores_gemma":[0.9723848,0.0006106569,0.0181908,0.0001506776,0.00002112421,0.007773434,0.0004514238,0.00001702611,0.0004001633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04912544,"threshold_uncertainty_score":0.2598033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4940393164773396,"score_gpt":0.5846660768907785,"score_spread":0.09062676041343892,"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."}}