{"id":"W2033501351","doi":"10.1186/1472-6920-14-124","title":"Evaluating the impact of an integrated multidisciplinary head &amp; neck competency-based anatomy &amp; radiology teaching approach in radiation oncology: a prospective cohort study","year":2014,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital; London Health Sciences Centre; Cancer Care Ontario; Western University","funders":"Schulich School of Medicine and Dentistry; Schulich School of Medicine and Dentistry, Western University","keywords":"Contouring; Medicine; Radiation oncologist; Medical physics; Head and neck cancer; Wilcoxon signed-rank test; Curriculum; Test (biology); Head and neck; Multidisciplinary approach; Radiation oncology; Gross anatomy; Educational measurement; Radiology; Nuclear medicine; Radiation therapy; Medical education; Surgery; Internal medicine; Pathology; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003934082,0.0001999255,0.0004549591,0.0002600276,0.0001044696,0.00000814364,0.0003482646,0.0003525357,0.00007794525],"category_scores_gemma":[0.00478293,0.0001377232,0.00007604971,0.0004300446,0.0002261458,0.00009103973,0.00003707815,0.001011865,0.000007352296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811419,"about_ca_system_score_gemma":0.002738943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008815206,"about_ca_topic_score_gemma":0.001412575,"domain_scores_codex":[0.9972079,0.001203293,0.0005637943,0.0003440821,0.0003851242,0.0002957869],"domain_scores_gemma":[0.9985003,0.0006587469,0.0001420622,0.0004230233,0.00008435346,0.0001914694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001219657,0.002953718,0.8008153,0.00008032571,0.00007945525,6.511318e-7,0.004028597,0.01723375,0.00008705402,0.0010906,0.0002399151,0.1732686],"study_design_scores_gemma":[0.001247573,0.0006042837,0.4809951,0.00005411264,0.00002813133,0.00001525484,0.001130375,0.514922,0.000004989869,0.0006914659,0.000188776,0.0001179883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644623,0.0001644691,0.03270317,0.0001723195,0.0002884332,0.001264784,0.000001819034,0.0001702775,0.0007723673],"genre_scores_gemma":[0.9728616,0.00001166887,0.02621542,0.00004245913,0.0001383994,0.0004794663,0.0002198175,0.00002222257,0.000008916521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4976882,"threshold_uncertainty_score":0.572596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754972546916335,"score_gpt":0.4124467816858467,"score_spread":0.3848970562166834,"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."}}