{"id":"W2121172703","doi":"10.3138/jvme.30.1.57","title":"Using Clinical Audits to Identify Practitioner Learning Needs","year":2003,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Medicine; Continuing education; Medical education; Clinical Practice; Needs assessment; Continuing medical education; Veterinary medicine; Nursing; Business; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05157368,0.0005002846,0.0005958604,0.01242263,0.001086173,0.002059184,0.0008105514,0.0006419855,0.001032161],"category_scores_gemma":[0.2278029,0.0004727253,0.0004192726,0.006239526,0.0007062628,0.003037014,0.001800353,0.0008760394,0.0004462541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084754,"about_ca_system_score_gemma":0.004726868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005835547,"about_ca_topic_score_gemma":0.007960579,"domain_scores_codex":[0.9321027,0.0391286,0.01198124,0.001623367,0.01397687,0.001187168],"domain_scores_gemma":[0.6637467,0.1689479,0.05708554,0.01463775,0.09228667,0.003295493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006040676,0.0003988759,0.5819809,0.001443075,0.0001559361,0.0002794933,0.01388058,0.0009695519,0.001708948,0.001585232,0.009223936,0.3877695],"study_design_scores_gemma":[0.0001830235,0.002024652,0.9012915,0.002781556,0.0002401805,0.00161949,0.02666635,0.009943143,0.007404688,0.005226343,0.04234083,0.0002781746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157834,0.002898859,0.03545433,0.004029066,0.000385124,0.004746884,0.003152564,0.0007021818,0.03284747],"genre_scores_gemma":[0.943143,0.001909101,0.04832253,0.0004404488,0.0001062613,0.001931119,0.001786077,0.00005466269,0.0023067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05157368,"threshold_uncertainty_score":0.2727509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798603387514289,"score_gpt":0.5415806141044572,"score_spread":0.3617202753530284,"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."}}