{"id":"W4389439767","doi":"10.1212/wnl.92.15_supplement.p5.2-035","title":"Cognitive Impairment and Deep Grey Matter Lesions on 7T MRI in Multiple Sclerosis (P5.2-035)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre; McMaster University","funders":"","keywords":"Multiple sclerosis; Grey matter; Cognitive impairment; Medicine; Cognition; Magnetic resonance imaging; Neuroscience; Pathology; Psychology; Radiology; White matter; Psychiatry","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":[0.0003197991,0.0004238773,0.0002162243,0.0005243009,0.0004362703,0.0004072543,0.0002949091,0.0006674338,0.001726694],"category_scores_gemma":[0.001006794,0.0001584812,0.000439268,0.0004959478,0.0001870205,0.0003537162,0.0004141475,0.0006503254,0.0003497452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549272,"about_ca_system_score_gemma":0.0002798788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007897127,"about_ca_topic_score_gemma":0.007031241,"domain_scores_codex":[0.9999017,0.00001928498,0.00001000991,0.00001991949,0.00002287011,0.00002622852],"domain_scores_gemma":[0.9995404,0.0000479764,0.0001799905,0.00002006487,0.00005963827,0.0001517872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001392221,0.0006855628,0.9928554,0.00002366041,0.000145607,0.00054156,0.0001650506,0.00008205367,0.001030633,0.00002968122,0.0002548955,0.002793624],"study_design_scores_gemma":[0.00001473429,0.0004538934,0.998757,0.000002856288,0.00003068826,0.0003386189,0.00006880445,0.00007860623,0.0001487022,0.00002234951,0.00008183247,0.000001986089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992865,0.00003890525,0.00001792914,0.00003529879,0.000003033696,0.000006460395,0.0001690509,0.000001712337,0.0004411493],"genre_scores_gemma":[0.9990686,0.00002460017,0.00005181398,0.00002989973,0.000009132802,0.000006202295,0.000311185,0.000001051212,0.0004974973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007897127,"threshold_uncertainty_score":0.01570237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084460428451133,"score_gpt":0.2481884518019056,"score_spread":0.2273438475173943,"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."}}