{"id":"W4411675175","doi":"10.2196/75983","title":"An AI-Based Telerehabilitation Solution to Improve Mobility in People With Multiple Sclerosis (the PLATINUMS Project): Protocol for an Implementation and Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telerehabilitation; Randomized controlled trial; Quality of life (healthcare); Telemedicine; Physical medicine and rehabilitation; Medicine; Physical therapy; Usability; Caregiver burden; Health care; Computer science; Nursing; Dementia; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.05908713,0.003520234,0.004220894,0.003029622,0.005282762,0.003616811,0.003452129,0.005142228,0.07184637],"category_scores_gemma":[0.04710991,0.002554843,0.005474098,0.003054818,0.00289169,0.003205598,0.004023447,0.007674829,0.01483734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009373305,"about_ca_system_score_gemma":0.04101199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053425,"about_ca_topic_score_gemma":0.01057915,"domain_scores_codex":[0.9733007,0.01582276,0.004659742,0.001389868,0.00277283,0.002054114],"domain_scores_gemma":[0.9608089,0.007734943,0.004162733,0.004123905,0.02002177,0.003147681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1418328,0.05992034,0.006397907,0.1162635,0.001657638,0.001756328,0.01085549,0.008278335,0.007551976,0.01884925,0.175971,0.4506654],"study_design_scores_gemma":[0.2387733,0.08023532,0.03287386,0.07315069,0.001932775,0.0005963342,0.007886275,0.004722097,0.008650403,0.01239991,0.5379045,0.0008746097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0009755435,0.00009890414,0.001318243,0.0001292248,0.00008095781,0.995353,0.001142534,0.00003917897,0.0008623804],"genre_scores_gemma":[0.0003783206,0.00005447958,0.001770759,0.00004577946,0.000006933729,0.997407,0.000163187,0.000002597207,0.0001709337],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07184637,"threshold_uncertainty_score":0.3124864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725938308089062,"score_gpt":0.6193000566481256,"score_spread":0.2467062258392194,"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."}}