{"id":"W4319593973","doi":"10.1148/ryai.220170","title":"An Artificial Intelligence Training Workshop for Diagnostic Radiology Residents","year":2023,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Likert scale; Medical education; Curriculum; Radiology; Artificial intelligence; Competence (human resources); Medicine; Psychology; Computer science; Pedagogy","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002606775,0.0005453991,0.001000232,0.0008575998,0.0008092122,0.0001030478,0.0006737845,0.0008384393,0.0006342618],"category_scores_gemma":[0.01033728,0.0005540266,0.0003356565,0.001700126,0.0009339417,0.0003424147,0.00007593098,0.0008259297,0.002071245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641073,"about_ca_system_score_gemma":0.0007000245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002525493,"about_ca_topic_score_gemma":0.0004721169,"domain_scores_codex":[0.9939885,0.0004538989,0.002047962,0.001415547,0.0003861726,0.001707927],"domain_scores_gemma":[0.9907565,0.006601739,0.0003575761,0.001030105,0.0005781607,0.000675993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001546612,0.0005320662,0.002730132,0.0001710279,0.0001560246,0.000205026,0.01405123,0.007142812,0.01209088,0.09588782,0.003222438,0.8622639],"study_design_scores_gemma":[0.00005259824,0.003981227,0.004073031,0.0004033599,0.0003657129,0.000963218,0.04912296,0.1268411,0.1470003,0.6636088,0.002058092,0.001529567],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7135612,0.0005409312,0.2656498,0.01097484,0.00553175,0.002507784,0.00005171687,0.0008988403,0.0002831573],"genre_scores_gemma":[0.9892733,0.0006756937,0.003788123,0.001270574,0.003524643,0.0007117346,0.0003662199,0.000107139,0.0002826421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8607343,"threshold_uncertainty_score":0.9996911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3497468722346465,"score_gpt":0.4777457117416867,"score_spread":0.1279988395070402,"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."}}