{"id":"W2982804252","doi":"10.1136/jnnp-2019-abn-2.148","title":"161 Qualitative aspects of cognition in MS &amp; audit of MoCA in LTHTR natalizumab cohort","year":2019,"lang":"en","type":"article","venue":"Journal of Neurology Neurosurgery & Psychiatry","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natalizumab; Cohort; Cognition; Audit; Montreal Cognitive Assessment; Medicine; Psychology; Internal medicine; Multiple sclerosis; Psychiatry; Business; Cognitive impairment; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001832247,0.0002195808,0.0004524681,0.00240751,0.000576565,0.0007368094,0.0004013469,0.0001987595,0.001712711],"category_scores_gemma":[0.006653899,0.0002275909,0.0005142236,0.001522862,0.0003228681,0.0003381594,0.0008909866,0.0004332875,0.0006697225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291771,"about_ca_system_score_gemma":0.001650492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149098,"about_ca_topic_score_gemma":0.01504746,"domain_scores_codex":[0.9989592,0.0002727443,0.0002790352,0.00008130367,0.0002480324,0.0001596466],"domain_scores_gemma":[0.9950617,0.0004664209,0.001932652,0.0004137807,0.001729942,0.0003954325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001906478,0.000389314,0.897814,0.0005547799,0.0001445336,0.0009480056,0.001916145,0.0001510911,0.001296541,0.0002089248,0.009136029,0.08553422],"study_design_scores_gemma":[0.00002870813,0.0003158498,0.9917259,0.000122924,0.00004166313,0.0007941092,0.0002686776,0.0001089744,0.0006272803,0.00007776458,0.005860698,0.00002745264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977065,0.001447708,0.0007774548,0.000373045,0.00004071513,0.001345977,0.01190847,0.0001341509,0.006907421],"genre_scores_gemma":[0.9829472,0.001215576,0.002398216,0.0002228783,0.00003589987,0.001216553,0.00911638,0.00004057844,0.002806795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149098,"threshold_uncertainty_score":0.02964604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328449209692312,"score_gpt":0.3197483047604661,"score_spread":0.3064638126635429,"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."}}