{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614091,0.0001295655,0.000171172,0.001320112,0.0001006601,0.00003051089,0.000307055,0.0002119305,0.00004486639],"category_scores_gemma":[0.00004898387,0.0001097733,0.00002792705,0.001601465,0.0001340839,0.0006949214,0.000002391527,0.0002515537,0.00008644936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009717403,"about_ca_system_score_gemma":0.00006779593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887564,"about_ca_topic_score_gemma":0.00001176543,"domain_scores_codex":[0.998877,0.00002433782,0.0004999741,0.0001617034,0.000221434,0.0002155027],"domain_scores_gemma":[0.9991894,0.0000431702,0.0001444318,0.0004943734,0.00009247947,0.00003611562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009824387,0.0003910013,0.001314818,0.0001264517,0.0001426833,0.0002914115,0.002515184,0.001513527,0.004545587,0.5675146,0.002517172,0.4190293],"study_design_scores_gemma":[0.00914935,0.002763832,0.005462056,0.0003858549,0.00008603677,0.005653105,0.003882874,0.006395961,0.3940588,0.4977608,0.07288515,0.001516212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02125258,0.00003806351,0.9704868,0.004264578,0.001528422,0.0002113191,0.000001750755,0.000475083,0.001741384],"genre_scores_gemma":[0.9740875,0.00006836002,0.02525661,0.0005016074,0.000005488326,0.00003639935,0.000006776544,0.000003186681,0.00003408497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9528349,"threshold_uncertainty_score":0.4476427,"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."}}