{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686876,0.0003253918,0.0002808133,0.0002234743,0.0005450643,0.0002862127,0.0007308376,0.0004783009,0.004226525],"category_scores_gemma":[0.004666197,0.0001286711,0.0003076037,0.0001945566,0.0002498997,0.0002675218,0.001396398,0.0006026254,0.0004920259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630885,"about_ca_system_score_gemma":0.002648959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00524968,"about_ca_topic_score_gemma":0.009203798,"domain_scores_codex":[0.9992204,0.0002626523,0.00002302377,0.00007725131,0.00016816,0.0002484928],"domain_scores_gemma":[0.9969598,0.0007890455,0.0002602768,0.0001014699,0.000346781,0.001542578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0082745,0.1135917,0.09917138,0.0009827168,0.0002188009,0.001482744,0.01565285,0.001540178,0.008133008,0.0001585656,0.01007865,0.7407149],"study_design_scores_gemma":[0.003718088,0.07812487,0.8822477,0.0005698584,0.0002525654,0.0009091768,0.008038723,0.001814933,0.005219921,0.0001782406,0.01882772,0.00009821966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981983,0.0000942224,0.0001117095,0.0001894339,0.00001870889,0.000120185,0.00003520911,0.00001669732,0.001215502],"genre_scores_gemma":[0.9940324,0.000324293,0.001729594,0.0002930106,0.00004124417,0.0002712258,0.0001716698,0.00001223586,0.003124144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00524968,"threshold_uncertainty_score":0.01413918,"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."}}