{"id":"W3172384927","doi":"10.3389/fvets.2021.651238","title":"Day-1 Competencies for Veterinarians Specific to Health Informatics","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medical education; Curriculum; Medicine; Informatics; Health care; Work (physics); Adaptation (eye); Health informatics; Knowledge management; Veterinary medicine; Nursing; Psychology; Public health; Computer science; Engineering","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":[0.005661495,0.0003031022,0.0002283237,0.001028692,0.001409624,0.002149787,0.0009503528,0.001141418,0.007738225],"category_scores_gemma":[0.01283733,0.0002303151,0.0004098137,0.0004054202,0.001519426,0.001323002,0.004630665,0.002385949,0.001902923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003163931,"about_ca_system_score_gemma":0.02252465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129387,"about_ca_topic_score_gemma":0.01087028,"domain_scores_codex":[0.9966369,0.001259096,0.0002472366,0.0001859343,0.001066163,0.0006046496],"domain_scores_gemma":[0.9846949,0.003689511,0.001794751,0.0007103811,0.0035923,0.005518182],"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":[0.0001245895,0.002184642,0.06736257,0.002433748,0.00002605777,0.0007934133,0.05838567,0.001120219,0.01414161,0.07304659,0.09998392,0.680397],"study_design_scores_gemma":[0.00005182474,0.001207135,0.155725,0.003064389,0.00002314534,0.003103852,0.04208549,0.002634594,0.007140337,0.0493089,0.7355491,0.0001062993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4763445,0.00443462,0.06722474,0.05943513,0.001912388,0.004059053,0.0007680099,0.0008282351,0.3849934],"genre_scores_gemma":[0.7391303,0.002885733,0.2012346,0.007584516,0.0002518555,0.001592741,0.001023868,0.00007001996,0.04622638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007738225,"threshold_uncertainty_score":0.02994114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2628158759236918,"score_gpt":0.4762918952330514,"score_spread":0.2134760193093597,"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."}}