{"id":"W1970236927","doi":"10.1155/2012/742018","title":"Quantitative Magnetic Resonance Imaging of Cortical Multiple Sclerosis Pathology","year":2012,"lang":"en","type":"article","venue":"Multiple Sclerosis International","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital","keywords":"Magnetic resonance imaging; Multiple sclerosis; Myelin; Pathology; Medicine; White matter; Cortex (anatomy); Magnetization transfer; In vivo; Nuclear medicine; Nuclear magnetic resonance; Neuroscience; Biology; Central nervous system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009545875,0.0004180584,0.000219504,0.002850728,0.0001476059,0.0005282362,0.0002611144,0.0002667483,0.001982794],"category_scores_gemma":[0.001790497,0.0002153811,0.0001341913,0.0008314201,0.0004191827,0.000480081,0.0002678462,0.0002209644,0.0002684255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311216,"about_ca_system_score_gemma":0.0001791094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006934151,"about_ca_topic_score_gemma":0.000673358,"domain_scores_codex":[0.999773,0.00008058706,0.00002111482,0.0000373875,0.00006470192,0.000023205],"domain_scores_gemma":[0.999273,0.0002845982,0.0001477887,0.00007301659,0.0001737277,0.00004792305],"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":[0.000650861,0.00005205947,0.01616888,0.0003886557,0.000176951,0.0003782,0.0002662455,0.002449353,0.9374272,0.0009690289,0.0002400736,0.0408325],"study_design_scores_gemma":[0.0000998476,0.001090557,0.6127551,0.000130436,0.0003829887,0.01570399,0.000718188,0.03010262,0.3264349,0.00851148,0.003917539,0.0001524629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331098,0.003646323,0.05803707,0.0001165728,0.00001517156,0.00006582285,0.0007080309,0.0005161169,0.00378525],"genre_scores_gemma":[0.9846947,0.0005394677,0.01402458,0.00002037702,0.0000127047,0.0000286292,0.0001988426,0.00005121791,0.0004294919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850728,"threshold_uncertainty_score":0.006633162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298532339641975,"score_gpt":0.3376492748410306,"score_spread":0.2077960408768332,"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."}}