{"id":"W3164476641","doi":"10.3138/jvme-2020-0123","title":"Validation of a Novel Ultrasound Simulation Model for Teaching Foundation-Level Ultrasonography Skills to Veterinary Students","year":2021,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrasound; Cohort; Medicine; Competence (human resources); Ultrasonography; Observational study; Graduation (instrument); Medical physics; Medical education; Curriculum; Simulation; Psychology; Computer science; Radiology; Pathology; Engineering; Pedagogy; Mechanical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001623189,0.0001912181,0.0004949819,0.0003093046,0.0001332324,0.00004537488,0.0003014878,0.0002015206,0.0001840799],"category_scores_gemma":[0.01305067,0.0001817836,0.0003220478,0.0003907322,0.0001013799,0.0003473551,0.00005223256,0.0004272335,0.000004933666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820663,"about_ca_system_score_gemma":0.001800712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005261746,"about_ca_topic_score_gemma":7.625187e-7,"domain_scores_codex":[0.9967468,0.0001128668,0.001443341,0.0003006317,0.001178822,0.0002175161],"domain_scores_gemma":[0.9947544,0.002153178,0.0007408105,0.0003683138,0.001479094,0.0005041824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003149613,0.04445078,0.03333628,0.001314803,0.001010927,0.00002037338,0.008746117,0.02618834,0.7679637,0.001211502,0.003034039,0.1095735],"study_design_scores_gemma":[0.04060746,0.03766287,0.5845316,0.01397069,0.004183484,0.01508128,0.008371142,0.1660178,0.02657838,0.01032852,0.08964799,0.003018786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805844,0.00003419593,0.3170698,0.001298115,0.0004946396,0.0004161234,0.00002272572,0.00001188801,0.00006813425],"genre_scores_gemma":[0.8553233,0.00005826652,0.1425844,0.001036534,0.0005207712,0.00006317314,0.0001898172,0.00003023406,0.0001935469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7413853,"threshold_uncertainty_score":0.9952628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518856573708585,"score_gpt":0.4877761913196493,"score_spread":0.3358905339487908,"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."}}