{"id":"W2181813738","doi":"10.3138/jvme.0614-059r1","title":"Engaging Students: Using Video Clips of Authentic Client Interactions in Pre-Clinical Veterinary Medical Education","year":2015,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLIPS; Medical education; Class (philosophy); Perception; Protocol (science); Communication skills; Psychology; Multimedia; Medicine; Computer science; Alternative medicine; Surgery; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009918912,0.000251509,0.0007393612,0.000661426,0.0002745679,0.00002332233,0.00067636,0.0002949836,0.001339106],"category_scores_gemma":[0.01948118,0.0002232643,0.0002001995,0.0005166418,0.0002264818,0.0009863607,0.0004031467,0.002242347,0.00005698818],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007569912,"about_ca_system_score_gemma":0.01790521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844305,"about_ca_topic_score_gemma":0.00003531481,"domain_scores_codex":[0.9908388,0.003204812,0.003298728,0.0003337595,0.001886242,0.0004376488],"domain_scores_gemma":[0.9936184,0.001631264,0.002132701,0.000414121,0.001141867,0.001061703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005474401,0.02746007,0.670326,0.001463681,0.0005068612,0.0002455952,0.08760241,0.00002871481,0.0006805339,0.0002471899,0.075482,0.1304825],"study_design_scores_gemma":[0.006935209,0.006435813,0.4920105,0.0139558,0.0004207588,0.005356967,0.1475862,0.00141555,0.000007668375,0.0008711204,0.3243172,0.0006872547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712737,0.001081005,0.000321988,0.006751784,0.01948103,0.0004312871,0.000001821317,0.00001851176,0.0006388435],"genre_scores_gemma":[0.9918379,0.0008661074,0.001920502,0.00220684,0.0026052,0.00007745021,0.00001324801,0.00003415129,0.0004386185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488352,"threshold_uncertainty_score":0.9995738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6194647248584845,"score_gpt":0.65904244805588,"score_spread":0.0395777231973955,"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."}}