{"id":"W2113191664","doi":"10.1148/radiol.12111593","title":"Demyelinating Diseases: Myeloperoxidase as an Imaging Biomarker and Therapeutic Target","year":2012,"lang":"en","type":"article","venue":"Radiology","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Neurological Disorders and Stroke; Shanghai Jiao Tong University; U.S. Department of Defense; National Heart, Lung, and Blood Institute; School of Medicine, Shanghai Jiao Tong University; Radiological Society of North America","keywords":"Myeloperoxidase; Medicine; Experimental autoimmune encephalomyelitis; Biomarker; Multiple sclerosis; Flow cytometry; Pathology; Immunology; Inflammation; Biochemistry; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004301229,0.0003292262,0.0004270962,0.0001726646,0.0003727311,0.00002190702,0.0002384434,0.0002121757,0.001099391],"category_scores_gemma":[0.00009032985,0.0002719421,0.0000787306,0.0001371576,0.0004089111,0.000319266,0.0001363437,0.0002840566,0.0005492732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004354128,"about_ca_system_score_gemma":0.00004458633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003342065,"about_ca_topic_score_gemma":0.000001652815,"domain_scores_codex":[0.9975588,0.0007451654,0.0003179307,0.0004807007,0.00003578327,0.0008616323],"domain_scores_gemma":[0.9991201,0.0002141228,0.0001182617,0.000349573,0.00005553478,0.0001424695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001605927,0.0002020959,0.04691101,0.00001659398,0.0002042858,0.00002571619,0.0008928313,8.544894e-7,0.888881,0.01549512,0.0003721293,0.04683775],"study_design_scores_gemma":[0.008676557,0.001210162,0.4084289,0.0001037104,0.0006655329,0.007186986,0.004263475,0.0003781033,0.3913277,0.02166637,0.1531707,0.002921813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732751,0.02302399,0.001182192,0.0004985715,0.0008613848,0.0002762152,0.00003827218,0.0001652296,0.000678998],"genre_scores_gemma":[0.996556,0.0001267525,0.0004845285,0.002049171,0.0001723492,0.00004986018,0.0001651194,0.00004534008,0.0003508919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975533,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524211773956313,"score_gpt":0.2655580371040239,"score_spread":0.2503159193644607,"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."}}