{"id":"W4401025774","doi":"10.1111/ene.16421","title":"Global functional connectivity reorganization reflects cognitive processing speed deficits and fatigue in multiple sclerosis","year":2024,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Univerzita Karlova v Praze","keywords":"Medicine; Interquartile range; Functional magnetic resonance imaging; Montreal Cognitive Assessment; Cognition; Physical medicine and rehabilitation; Magnetic resonance imaging; Expanded Disability Status Scale; Audiology; Multiple sclerosis; Internal medicine; Physical therapy; Cognitive impairment; Psychiatry; Radiology","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":[0.0002320986,0.0002221754,0.0001897009,0.0007413179,0.0001227737,0.0002219245,0.0001123625,0.0001831384,0.00139058],"category_scores_gemma":[0.001376033,0.00009835689,0.0001331663,0.0002971191,0.0002040155,0.000238795,0.0002584695,0.0001460027,0.00009077582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330284,"about_ca_system_score_gemma":0.0000752976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008723659,"about_ca_topic_score_gemma":0.001206309,"domain_scores_codex":[0.9999191,0.00002058229,0.000008140294,0.00002387474,0.00001354582,0.00001474704],"domain_scores_gemma":[0.9994034,0.0001677549,0.000281676,0.00003684201,0.00004542601,0.00006502961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009284269,0.0001082884,0.9657526,0.00005465605,0.0001946352,0.0002811123,0.000271175,0.0005522956,0.01990679,0.00007211902,0.0001176868,0.01176037],"study_design_scores_gemma":[0.000003996654,0.0001153223,0.9988123,0.000001837202,0.00001206709,0.0002592773,0.00004303948,0.0003775133,0.0002871865,0.00006343015,0.00002244319,0.00000174404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996808,0.00004968014,0.000126301,0.000004795735,6.369482e-7,0.000002779291,0.00004000574,0.000002540106,0.00009247385],"genre_scores_gemma":[0.9998251,0.00001423044,0.00007611259,0.000002272762,0.000001852334,0.000002601188,0.00004296815,6.367048e-7,0.00003421912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00139058,"threshold_uncertainty_score":0.004651964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438799036693945,"score_gpt":0.3283360158934382,"score_spread":0.1844561122240437,"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."}}