{"id":"W4403117401","doi":"10.1067/j.cpradiol.2024.10.012","title":"Exploring the integration of artificial intelligence in radiology education: A scoping review","year":2024,"lang":"en","type":"review","venue":"Current Problems in Diagnostic Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Medicine; MEDLINE; Medical physics; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002006921,0.0004246105,0.002205069,0.0008211702,0.00004488875,0.00001624042,0.000371279,0.0002697247,0.00005847174],"category_scores_gemma":[0.01105091,0.0002846102,0.0003087413,0.001611308,0.0003107982,0.000117096,0.00008104961,0.001543411,0.0001232458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909571,"about_ca_system_score_gemma":0.002969127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001691498,"about_ca_topic_score_gemma":0.0003085246,"domain_scores_codex":[0.994525,0.0007928746,0.003360661,0.0006931542,0.0001715634,0.0004567892],"domain_scores_gemma":[0.9931952,0.005300476,0.0006220891,0.0006221854,0.0001657433,0.00009430654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000003224638,0.0001802526,0.00004711828,0.1556855,0.00001572471,0.000005078393,0.0006704348,0.00001160705,1.934706e-7,0.001998606,0.000282909,0.8410993],"study_design_scores_gemma":[0.00001028724,0.0001891099,0.00001658281,0.9511521,0.0006099906,0.0003627717,0.0002541813,0.0000640896,0.000004891973,0.004523743,0.0425553,0.0002568948],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001162687,0.9855378,0.0005218197,0.0008165778,0.007094495,0.005822381,0.000005785106,0.00002690418,0.00005792753],"genre_scores_gemma":[0.0004031891,0.991822,0.0001092295,0.00009979804,0.0009010385,0.006395974,0.000219259,0.00004032507,0.000009174001],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8408424,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5574516892036596,"score_gpt":0.5300032808271579,"score_spread":0.02744840837650175,"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."}}