{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002737242,0.0001907616,0.0004075211,0.0005411768,0.001780405,0.00006356953,0.0005102005,0.00006306871,0.00006605836],"category_scores_gemma":[0.0006478161,0.0001936988,0.00005508244,0.001800536,0.0002703981,0.0009034756,0.0004833908,0.0003124852,0.0001210832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004866711,"about_ca_system_score_gemma":0.0019876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002683912,"about_ca_topic_score_gemma":0.000007775521,"domain_scores_codex":[0.9970649,0.0002791868,0.0008708821,0.0004089064,0.0003689489,0.001007142],"domain_scores_gemma":[0.9982154,0.0003252877,0.000266673,0.0005644457,0.0003448146,0.0002833777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008211462,0.0006193927,0.05642869,0.001674743,0.0000586726,0.0001588781,0.2707486,0.0002470665,0.01873052,0.00432167,0.5838111,0.06237951],"study_design_scores_gemma":[0.0004305535,0.001061904,0.03484048,0.0001810911,0.000002629219,0.00004994165,0.1134754,0.0002370319,0.00001068147,0.0002022943,0.849293,0.0002149782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8777275,0.0009905916,0.08655488,0.0115224,0.01413398,0.001473013,0.00007147224,0.0001072948,0.007418894],"genre_scores_gemma":[0.4422832,0.0009805891,0.5404515,0.01053092,0.0004160961,0.0005633462,0.00003213509,0.00003602857,0.004706141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4538966,"threshold_uncertainty_score":0.9995192,"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."}}