{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006495203,0.0002132158,0.0008951594,0.00142895,0.001245388,0.00002575011,0.0003194252,0.0000420246,0.00071735],"category_scores_gemma":[0.0007082582,0.0002235422,0.000149857,0.002803927,0.00003667748,0.00136125,0.0009691184,0.0008528468,0.00005540147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007178414,"about_ca_system_score_gemma":0.0004148601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058718,"about_ca_topic_score_gemma":0.0002480581,"domain_scores_codex":[0.9841236,0.01286824,0.001810631,0.000286857,0.0003236722,0.000586993],"domain_scores_gemma":[0.9943858,0.00276299,0.001727714,0.0007859161,0.0001644908,0.0001730552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007703732,0.002123972,0.07112524,0.0009124127,0.001262126,0.00002945805,0.1327157,0.001275525,0.0004192073,0.0002636433,0.07592103,0.7062479],"study_design_scores_gemma":[0.0005121168,0.005301923,0.1408513,0.00005523856,0.00007686948,0.00005687278,0.05328326,0.001590753,6.42986e-7,0.00001244195,0.798046,0.0002126162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593631,0.0002674162,0.001879582,0.03623948,0.0009157985,0.0007412337,0.000130165,0.00007378399,0.0003894359],"genre_scores_gemma":[0.8817927,0.0004897147,0.1084329,0.008001527,0.00002709869,0.0006790849,0.0003084327,0.000021271,0.0002471715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7221249,"threshold_uncertainty_score":0.9960014,"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."}}