{"id":"W1963794338","doi":"10.3138/jvme.30.3.264","title":"Radiology as a Tool for Teaching Veterinary Anatomy","year":2003,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Curriculum; Session (web analytics); Medical education; Radiography; Radiographic anatomy; Process (computing); Veterinary education; Medicine; Medical physics; Radiology; Anatomy; Psychology; Computer science; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004169816,0.0001813211,0.0004282498,0.0001974477,0.0007242693,0.00001208677,0.0002609907,0.0002533973,0.001520498],"category_scores_gemma":[0.01358741,0.0001515134,0.0001616389,0.0001289393,0.0001071167,0.0004976864,0.00005633732,0.001061522,0.00009445328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024348,"about_ca_system_score_gemma":0.004398406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001868763,"about_ca_topic_score_gemma":5.869441e-7,"domain_scores_codex":[0.9963031,0.001571051,0.001093135,0.0002053353,0.0004102805,0.0004170529],"domain_scores_gemma":[0.9963164,0.001787884,0.0008680767,0.0002366672,0.000460095,0.000330921],"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":[0.004797833,0.004074553,0.01458154,0.001693885,0.0006448723,0.000345211,0.03055986,0.000003646722,0.007401058,0.02749847,0.7639884,0.1444107],"study_design_scores_gemma":[0.001295263,0.00394792,0.003303236,0.0003785542,0.00006296264,0.006128236,0.0148001,0.00001080242,0.00000541115,0.001520823,0.9683819,0.0001648287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730334,0.001660008,0.001086864,0.01021578,0.008736548,0.0004448542,0.000002036913,0.00002290792,0.004797542],"genre_scores_gemma":[0.9803141,0.0008520206,0.008768334,0.006269979,0.002030404,0.000214147,0.000009005176,0.00003268296,0.00150927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043935,"threshold_uncertainty_score":0.9993923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2917638800932697,"score_gpt":0.5740009899601042,"score_spread":0.2822371098668345,"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."}}