{"id":"W1576311387","doi":"10.1177/1352458515579441","title":"Corticospinal tract integrity measured using transcranial magnetic stimulation and magnetic resonance imaging in neuromyelitis optica and multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Society; Vertex Pharmaceuticals","keywords":"Multiple sclerosis; Transcranial magnetic stimulation; Neuromyelitis optica; Magnetic resonance imaging; Corticospinal tract; Medicine; Neuroscience; Functional magnetic resonance imaging; Nuclear magnetic resonance; Stimulation; Psychology; Radiology; Physics; Diffusion MRI; Internal medicine; Immunology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001782145,0.0005797715,0.0009518559,0.0005990969,0.0004924386,0.0003997065,0.0002244825,0.000193009,0.00006392345],"category_scores_gemma":[0.00405233,0.0005308923,0.0001843667,0.0005835664,0.0006403707,0.0007123741,0.0001695863,0.001512724,0.000006244883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630018,"about_ca_system_score_gemma":0.0002981588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080281,"about_ca_topic_score_gemma":0.0003322434,"domain_scores_codex":[0.9949735,0.0005417447,0.001184361,0.0008330872,0.001372581,0.001094729],"domain_scores_gemma":[0.9970149,0.0005526189,0.0002383482,0.0003834911,0.0007040414,0.001106563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001285132,0.0003828035,0.6757507,0.00006809103,0.00001540095,0.00009928742,0.001264016,0.0002311814,0.153145,0.000001907331,0.00004682699,0.1677096],"study_design_scores_gemma":[0.01495059,0.0008314351,0.8039712,0.001130594,0.0001191705,0.0005759139,0.0006121462,0.1768985,0.0003757996,0.0000296821,0.0001166454,0.0003883296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786577,0.01781266,0.0007706059,0.001235107,0.0002916301,0.001050643,0.00005076499,0.00007349948,0.00005737089],"genre_scores_gemma":[0.9829617,0.003381773,0.01300308,0.0001572238,0.0003548418,0.00002807988,0.000007535588,0.00008823221,0.0000175406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1766673,"threshold_uncertainty_score":0.9997143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187400439815903,"score_gpt":0.3139892376036302,"score_spread":0.1265887977877272,"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."}}