{"id":"W4416230718","doi":"10.1016/j.msard.2025.106859","title":"Adherence and compliance with exercise training in progressive multiple sclerosis: Rates and correlates from the CogEx trial","year":2025,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; European Genomic Institute for Diabetes","keywords":"Compliance (psychology); Multiple sclerosis; Clinical trial; Cognition; Patient compliance; Affect (linguistics); Exercise therapy","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":[0.01227422,0.0004928121,0.002239791,0.0007457187,0.0004121876,0.001005154,0.0005287235,0.001266934,0.001196404],"category_scores_gemma":[0.01599828,0.0002351412,0.002372624,0.001290865,0.0004022984,0.000669044,0.0008838308,0.0009905834,0.0001446888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813438,"about_ca_system_score_gemma":0.000511897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178554,"about_ca_topic_score_gemma":0.001466035,"domain_scores_codex":[0.9913896,0.005404789,0.001302737,0.0005530003,0.001094335,0.0002555902],"domain_scores_gemma":[0.9861232,0.006280452,0.004833798,0.001226747,0.0008552821,0.0006805112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2971258,0.002008546,0.6135309,0.0049381,0.02139038,0.000135615,0.0006467443,0.001150931,0.0008721315,0.0002372928,0.002207902,0.05575566],"study_design_scores_gemma":[0.01731544,0.01220855,0.9560691,0.0007681698,0.009839862,0.0002263815,0.0001807951,0.001169215,0.0004761817,0.0002358968,0.001442001,0.00006860322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901371,0.00603024,0.0003226182,0.0001681602,0.00004405614,0.0004874301,0.001607641,0.00001906875,0.001183782],"genre_scores_gemma":[0.9951181,0.001187486,0.0004101367,0.0001625509,0.00006058972,0.0007945042,0.001972077,0.000009660548,0.0002849847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01227422,"threshold_uncertainty_score":0.06491303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07941670029547286,"score_gpt":0.2997765516977942,"score_spread":0.2203598514023213,"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."}}