{"id":"W2606128815","doi":"10.3174/ajnr.a5162","title":"A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio","year":2017,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Polytechnique Montréal","funders":"Canadian Institutes of Health Research; AOSpine; Rick Hansen Institute; Christopher and Dana Reeve Foundation","keywords":"Medicine; Nuclear medicine; White matter; Fractional anisotropy; Magnetic resonance imaging; Magnetization transfer; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000193825,0.0002780636,0.0009504616,0.0003495077,0.0001410012,0.00003336858,0.0005351998,0.00005882245,0.0004396725],"category_scores_gemma":[0.00003698142,0.0002258214,0.0002220038,0.0002173338,0.0008378446,0.0001667404,0.0001802399,0.0005173141,0.0001159443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004440375,"about_ca_system_score_gemma":0.00006627064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002788425,"about_ca_topic_score_gemma":0.000001119422,"domain_scores_codex":[0.9981676,0.00008906081,0.0007718043,0.0003839553,0.0002151894,0.0003724007],"domain_scores_gemma":[0.9970278,0.00004832077,0.00135536,0.0008559303,0.0004377521,0.0002748286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003357595,0.0001843111,0.8167371,0.00002258423,0.00008018446,0.00009824805,0.00005746888,0.000003950987,0.1215859,0.00002060179,0.05551546,0.002336573],"study_design_scores_gemma":[0.000596254,0.00380348,0.9818747,0.000106502,0.0001216031,0.004726878,0.00003226723,0.00006165128,0.0022053,0.0001362214,0.006129621,0.0002055351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846044,0.000008770144,0.0905207,0.06230723,0.0002026955,0.0003293357,0.00003673934,0.00002410937,0.0005264404],"genre_scores_gemma":[0.9463857,0.00001503947,0.03122166,0.02186104,0.0001758572,0.00001351039,0.000004521684,0.00005208707,0.000270624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1651376,"threshold_uncertainty_score":0.9208729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610236939059965,"score_gpt":0.356367219790965,"score_spread":0.3102648504003654,"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."}}