{"id":"W4413676604","doi":"10.1007/s00415-025-13345-0","title":"Not for everyone: examining predictors of cognitive rehabilitation success in multiple sclerosis","year":2025,"lang":"en","type":"letter","venue":"Journal of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Multiple sclerosis; Neurology; Neuroradiology; Cognition; Rehabilitation; Physical medicine and rehabilitation; Medicine; Cognitive rehabilitation therapy; Neuropsychology; Psychology; Physical therapy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009175367,0.000265176,0.001368175,0.001352207,0.00004577464,0.000009573304,0.0002426706,0.0006155387,0.00001986201],"category_scores_gemma":[0.02601241,0.0002276902,0.0003214971,0.0003301648,0.0003563857,0.0001116081,0.0001227462,0.002297781,7.846074e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009073107,"about_ca_system_score_gemma":0.000367425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003889013,"about_ca_topic_score_gemma":0.00003193544,"domain_scores_codex":[0.9967521,0.0005135937,0.00130217,0.0003521817,0.0006502728,0.0004296673],"domain_scores_gemma":[0.9790382,0.01841282,0.0009903753,0.0002041504,0.001287327,0.00006715296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.006541076,0.0003304105,0.462424,0.00203597,0.0007083174,0.0002699993,0.001064745,0.0000461175,0.005178324,3.508945e-7,0.5189575,0.002443126],"study_design_scores_gemma":[0.007256985,0.006968875,0.969032,0.002126036,0.0003030442,0.00004011845,0.000102543,0.0001237904,0.0005848841,0.00001076909,0.01332133,0.000129577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082907,0.0003449557,0.0001179231,0.1888047,0.0009502041,0.001229247,0.0001941113,0.000009831211,0.00005841533],"genre_scores_gemma":[0.904557,0.0006014791,0.0005341266,0.09199775,0.001896221,0.0001166135,0.00006018533,0.00004995622,0.0001866839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.506608,"threshold_uncertainty_score":0.9982843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051723249981147,"score_gpt":0.3346697807304865,"score_spread":0.2294974557323717,"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."}}