{"id":"W2153687033","doi":"10.1109/ccece.2007.16","title":"Medical Image Conversion with DICOM","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"DICOM; Computer science; Bitmap; Image file formats; Computer graphics (images); Digital imaging; Medical imaging; Software; Computer vision; Digital image; Image processing; Process (computing); Artificial intelligence; Image (mathematics)","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":[0.0006532143,0.00007397999,0.00009005825,0.00003855403,0.00006679554,0.00007765626,0.000622065,0.00004761906,0.00008591475],"category_scores_gemma":[0.00001695393,0.00004912915,0.0000236842,0.0002279732,0.00004094286,0.0001510916,0.0001324468,0.00009048819,0.0002137652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001487074,"about_ca_system_score_gemma":0.00005601038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004802561,"about_ca_topic_score_gemma":0.000009167346,"domain_scores_codex":[0.9989435,0.00002210309,0.0001352121,0.0002013615,0.0004643763,0.000233442],"domain_scores_gemma":[0.9993594,0.00009974503,0.0000353727,0.0002728915,0.00005086692,0.0001817493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001219238,0.0006917608,0.05405585,0.0001610228,0.0001457359,0.003584654,0.00198061,0.000122229,0.0009269938,0.6464496,0.1895369,0.1022227],"study_design_scores_gemma":[0.006220894,0.001200933,0.05712944,0.0004338184,0.00001803805,0.001829071,0.0003760432,0.3822291,0.008781812,0.001658082,0.538368,0.001754854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.016113,0.00001440286,0.931298,0.0007019637,0.0002295695,0.00004635322,2.740979e-7,0.0002605475,0.05133596],"genre_scores_gemma":[0.9784747,7.714994e-7,0.02032619,0.000469347,0.00006973798,3.885572e-7,0.000002725788,0.00000319213,0.0006529583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623617,"threshold_uncertainty_score":0.274759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006184106412177557,"score_gpt":0.2314146097323445,"score_spread":0.225230503320167,"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."}}