{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00479412,0.0007646614,0.0003296963,0.0004860839,0.001110601,0.0007313358,0.001426651,0.001190662,0.0077221],"category_scores_gemma":[0.01747954,0.0003212634,0.0004222243,0.0001849205,0.0005448174,0.0006446347,0.002149912,0.00134535,0.002730477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008190606,"about_ca_system_score_gemma":0.002326614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296986,"about_ca_topic_score_gemma":0.0007179131,"domain_scores_codex":[0.9981593,0.0009073079,0.000097148,0.0001972156,0.0003403833,0.0002985941],"domain_scores_gemma":[0.9889186,0.00323894,0.001208547,0.0004867648,0.001671111,0.004475968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002637143,0.02277894,0.05691277,0.002027904,0.0001061509,0.007315116,0.01881284,0.003480604,0.03642325,0.0007957178,0.0819341,0.7667755],"study_design_scores_gemma":[0.002908937,0.1116694,0.3207785,0.002927145,0.0003484257,0.02635995,0.03452438,0.0142047,0.08400393,0.004820959,0.3966124,0.0008411227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9604824,0.0008534851,0.01584207,0.005823925,0.001126234,0.001964455,0.0001644183,0.001629596,0.01211345],"genre_scores_gemma":[0.9227629,0.0009741652,0.06065052,0.003408997,0.0004877324,0.001360705,0.0003563821,0.000117124,0.009881373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0077221,"threshold_uncertainty_score":0.02583301,"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."}}