{"id":"W2125006881","doi":"10.1007/s10278-012-9471-9","title":"Teaching DICOM by Problem Solving","year":2012,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Radiology practices and education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"DICOM; Computer science; Medical imaging; GRASP; Medical information; Multimedia; ENCODE; Digital imaging; Software; Medical physics; Medicine; Digital image; Information retrieval; Image processing; Artificial intelligence; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004368121,0.00006374069,0.0001430132,0.00007379346,0.00005928327,0.00008506584,0.00004976485,0.00001829796,0.0000166982],"category_scores_gemma":[0.0002245239,0.00004837576,0.00006822767,0.00003545211,0.0000238456,0.002526259,0.00001512806,0.0003420831,0.00001218247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006162306,"about_ca_system_score_gemma":0.00004223623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004443511,"about_ca_topic_score_gemma":2.184473e-8,"domain_scores_codex":[0.9993575,0.0000180205,0.0002538768,0.00004588906,0.0001312863,0.000193447],"domain_scores_gemma":[0.9993631,0.00007889142,0.0002846276,0.00006237682,0.00005709119,0.0001539556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004387892,0.00037728,0.8132015,0.00003642219,0.00008280105,0.00001709256,0.00242178,0.000001452872,0.0109369,0.00006243062,0.0355617,0.1372568],"study_design_scores_gemma":[0.003405401,0.0005762211,0.1332875,0.0009540506,0.0007203608,0.03135094,0.01140642,0.0006017265,0.002256223,0.001364586,0.8134898,0.0005868262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509569,0.002992574,0.001373942,0.009220729,0.0004990029,0.00005312963,0.000001004268,0.00001394477,0.0348888],"genre_scores_gemma":[0.9959178,0.00001797469,0.002262816,0.000372867,0.0007870848,2.837374e-7,0.000003062727,0.00001122951,0.0006269113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7779281,"threshold_uncertainty_score":0.1972706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674594714596973,"score_gpt":0.314730376114137,"score_spread":0.2979844289681672,"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."}}