{"id":"W113255356","doi":"","title":"Metabolic Correlates in Spinal Cord Compression Measured by Magnetic Resonance Spectroscopy in the Motor and Sensory Cortices","year":2014,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Robarts Research Institute","keywords":"Spinal cord; Magnetic resonance imaging; Myelopathy; Sensory system; Motor cortex; In vivo magnetic resonance spectroscopy; Anatomy; Medicine; Nuclear magnetic resonance; Neuroscience; Psychology; Radiology; Physics; Stimulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001397137,0.00009945111,0.0001546872,0.0003253735,0.0001271627,0.0001974774,0.0000793628,0.0001914437,0.0010748],"category_scores_gemma":[0.0005298084,0.00004987104,0.00007829501,0.0002086468,0.0001592456,0.0001325281,0.000112922,0.0002250026,0.0001326687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018332,"about_ca_system_score_gemma":0.000159047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144795,"about_ca_topic_score_gemma":0.003199436,"domain_scores_codex":[0.9999566,0.000007748667,0.000004466282,0.000007866849,0.00001180947,0.00001154807],"domain_scores_gemma":[0.9997545,0.00003716159,0.0001120111,0.000008657116,0.00003696556,0.00005076839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003965348,0.0003849577,0.8035085,0.0001129137,0.0001169503,0.001531446,0.0004166585,0.0003244011,0.1719853,0.00007885278,0.0001661571,0.01740852],"study_design_scores_gemma":[0.00000664608,0.0004672099,0.9963282,0.000002354042,0.00001249775,0.0004898428,0.00008613188,0.0000784381,0.002460745,0.00001564222,0.00005005506,0.000002345348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996362,0.00009431584,0.00002796697,0.00001106196,0.000001015119,0.000003046652,0.00002846643,0.000001447976,0.0001963642],"genre_scores_gemma":[0.9996517,0.00006638229,0.00004975697,0.000006725973,0.000002056897,0.000003515556,0.00007457811,6.02002e-7,0.0001448314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144795,"threshold_uncertainty_score":0.003595531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.064344519586667,"score_gpt":0.3413552211643049,"score_spread":0.277010701577638,"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."}}