{"id":"W4412479581","doi":"10.3138/jvme-2024-0175","title":"Innovating for Curriculum Design Using a Text-Mining Exploration of Common Clinical Topics in Equine Primary Care","year":2025,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Bristol","keywords":"Curriculum; Identification (biology); Medical education; Medicine; Clinical Practice; Primary care; Psychology; Family medicine; Pedagogy","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":[0.01173721,0.0008567587,0.0006311848,0.005171061,0.0009729638,0.004836981,0.001673923,0.0009332689,0.004264088],"category_scores_gemma":[0.04475315,0.0004917026,0.001116957,0.003788906,0.0009536729,0.004262592,0.002159673,0.001594208,0.002000175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663486,"about_ca_system_score_gemma":0.00519755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843016,"about_ca_topic_score_gemma":0.003696386,"domain_scores_codex":[0.9926257,0.004187765,0.000897877,0.00137865,0.0006958274,0.0002142311],"domain_scores_gemma":[0.9597854,0.02981668,0.002906916,0.001814458,0.004754337,0.0009221678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003089173,0.001328977,0.03028471,0.004904737,0.0001614649,0.0004325425,0.02151931,0.00643463,0.01583861,0.008214104,0.01072883,0.8998432],"study_design_scores_gemma":[0.001116912,0.00463677,0.09179791,0.009517369,0.001249641,0.001836036,0.09979821,0.1844787,0.07236698,0.1020635,0.4306504,0.000487663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3060466,0.001682633,0.6484884,0.007457936,0.0004314447,0.01044603,0.006269936,0.004875949,0.01430103],"genre_scores_gemma":[0.1275458,0.0004949783,0.8626112,0.0004103479,0.00005835583,0.002872057,0.003660799,0.0001579893,0.00218845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01173721,"threshold_uncertainty_score":0.06207305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6684829440149704,"score_gpt":0.636937526724892,"score_spread":0.03154541729007843,"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."}}