{"id":"W4234126893","doi":"10.1371/journal.pone.0119356","title":"Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Medicine; White matter; Perfusion; Multiple sclerosis; Cerebral blood flow; Lesion; Pathology; Pathophysiology; Inflammation; Atrophy; Magnetic resonance imaging; Microcirculation; Hyperintensity; Cardiology; Internal medicine; Radiology; Immunology","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":[0.0003502454,0.0003344762,0.0003849084,0.0009145754,0.0004125233,0.0004006205,0.0001434679,0.0003336107,0.001834808],"category_scores_gemma":[0.001406433,0.0001585125,0.0001472554,0.0005260856,0.0004412281,0.0003013903,0.0002663014,0.0002689384,0.000190781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110277,"about_ca_system_score_gemma":0.0001911058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007516111,"about_ca_topic_score_gemma":0.0008905911,"domain_scores_codex":[0.9997836,0.00006437615,0.00002459666,0.00005978924,0.00003038879,0.00003730339],"domain_scores_gemma":[0.9990708,0.0001701101,0.0004754407,0.00004215715,0.0000570575,0.0001844363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002153113,0.0001278832,0.9827115,0.00005121152,0.00005282405,0.0006608134,0.0002153706,0.00009938951,0.009482196,0.00002959726,0.00005535802,0.004360751],"study_design_scores_gemma":[0.00002503999,0.0004974444,0.9970585,0.000006253248,0.00003614383,0.001173249,0.0001182933,0.0001457102,0.000817998,0.00005329011,0.0000627975,0.000005301559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996839,0.0001165945,0.00005105889,0.000009736557,0.000001150957,0.000003098688,0.00003045878,0.00000219141,0.0001018862],"genre_scores_gemma":[0.9998191,0.00003385789,0.00006117754,0.000006184158,0.000005144769,0.000002779606,0.00003953306,7.539453e-7,0.00003147543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001834808,"threshold_uncertainty_score":0.006138027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618747142072607,"score_gpt":0.2465569504642911,"score_spread":0.160369479043565,"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."}}