{"id":"W4391226824","doi":"10.1186/s13244-023-01574-8","title":"Interactive training workshop to improve prostate mpMRI knowledge: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship","year":2024,"lang":"en","type":"article","venue":"Insights into Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"NIHR Cambridge Biomedical Research Centre; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Department of Health and Social Care; Cancer Research UK","keywords":"Medicine; Wilcoxon signed-rank test; Prostate cancer; Prostate; Test (biology); Neuroradiology; Multiple choice; Medical physics; Urology; Radiology; Significant difference; Cancer; Internal medicine; Mann–Whitney U test; Neurology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004805445,0.00041512,0.0004239687,0.0001998276,0.0003901409,0.0005888271,0.0002459416,0.00006654826,0.00003279347],"category_scores_gemma":[0.0007346006,0.0002598657,0.0002034537,0.0003450222,0.0001122663,0.0005309116,0.0002156631,0.001052584,0.0002698889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007884127,"about_ca_system_score_gemma":0.0003211446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007371785,"about_ca_topic_score_gemma":0.000269127,"domain_scores_codex":[0.9974675,0.0001523362,0.0005676805,0.0009946057,0.0003016414,0.0005162884],"domain_scores_gemma":[0.9972737,0.001534183,0.000102279,0.000649575,0.0001428577,0.0002974087],"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":[0.0004961205,0.0001769954,0.0005682413,0.00005676789,0.000423127,0.0006041909,0.2995353,0.00002274943,0.00417227,0.0002823989,0.0200419,0.6736199],"study_design_scores_gemma":[0.00352528,0.0003763644,0.003202763,0.008030534,0.0006019832,0.00005859423,0.02295998,0.009176474,0.01976172,0.003652701,0.9278967,0.0007568383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904935,0.0425446,0.001846776,0.09130619,0.00699899,0.003821257,0.0002252283,0.001057792,0.06170567],"genre_scores_gemma":[0.9908642,0.0001826627,0.001977872,0.002483079,0.001477218,0.0003040963,0.0001095176,0.00009634256,0.002505032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9078549,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207001244564299,"score_gpt":0.3390342157017663,"score_spread":0.3069642032561233,"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."}}