{"id":"W1995725266","doi":"10.1109/titb.2003.821334","title":"DICOM structured report document type definition","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"DICOM; Computer science; XML; Document type definition; Information retrieval; Markup language; ENCODE; Medical imaging; SGML; Document Structure Description; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01368387,0.002457377,0.002462989,0.01568336,0.001717076,0.009014991,0.004707445,0.005101931,0.08379941],"category_scores_gemma":[0.06251313,0.00128998,0.001404917,0.0125325,0.001871677,0.006523763,0.00363608,0.003256211,0.07537168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003081692,"about_ca_system_score_gemma":0.007638326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005025502,"about_ca_topic_score_gemma":0.003409088,"domain_scores_codex":[0.9774038,0.006608563,0.00758859,0.001576973,0.006278602,0.0005436253],"domain_scores_gemma":[0.9461141,0.01529796,0.006523798,0.008884232,0.02147312,0.001706813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003217567,0.00005964131,0.0007027628,0.003005467,0.00005271234,0.0006427782,0.0002840252,0.002299329,0.001755,0.06838214,0.8062885,0.1162058],"study_design_scores_gemma":[0.00006291275,0.0000334189,0.0002412576,0.0003775729,0.00001998665,0.000724242,0.00006898836,0.001575002,0.000912295,0.01000015,0.9859377,0.00004648129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001511709,0.006841475,0.5024121,0.01249445,0.01203017,0.01187051,0.3417064,0.01194289,0.09919029],"genre_scores_gemma":[0.009605787,0.008817477,0.5556338,0.005480705,0.00404809,0.01032063,0.3642478,0.003848263,0.03799749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08379941,"threshold_uncertainty_score":0.2803369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297331531851464,"score_gpt":0.2482412685545232,"score_spread":0.2352679532360086,"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."}}