{"id":"W4416128535","doi":"10.3389/fdgth.2025.1725819","title":"Editorial: Digital remote patient monitoring in neurodegenerative diseases","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Disease; Remote patient monitoring; Wearable technology; Telemedicine; Disease management; Digital health; Disease monitoring; Wearable computer; Medical diagnosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004472954,0.0002174887,0.0004408057,0.0003485126,0.00006098298,0.0001058367,0.00008150491,0.00007038408,0.000001341807],"category_scores_gemma":[0.0001577011,0.0002034128,0.00008965321,0.0004488832,0.0000378934,0.0003932107,0.00006906591,0.000186005,0.000006441753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401402,"about_ca_system_score_gemma":0.0005003109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006898801,"about_ca_topic_score_gemma":0.000004679909,"domain_scores_codex":[0.9983816,0.00002440097,0.0003966161,0.0004439487,0.0003118148,0.0004416606],"domain_scores_gemma":[0.9992958,0.00003036229,0.00008040728,0.0002583819,0.00004957306,0.0002855207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006047804,0.0009455278,0.5971482,0.0001507998,0.0000544205,0.0001434476,0.0002235704,0.00003229392,0.000001956391,0.00005502439,0.06148017,0.3391598],"study_design_scores_gemma":[0.01718455,0.003022456,0.6318796,0.004119507,0.0001046891,0.00001309207,0.003178578,0.002402307,0.0005871558,0.02236055,0.3140595,0.001088005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005818,0.006313616,0.001873264,0.0008507685,0.08393324,0.001544811,0.000564747,0.0001592523,0.00417847],"genre_scores_gemma":[0.9960768,0.0001876376,0.0006830894,0.0001923614,0.002325476,0.00002755282,0.0001262326,0.00002405924,0.0003567399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3380719,"threshold_uncertainty_score":0.8294934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495730950396228,"score_gpt":0.2794551642834169,"score_spread":0.2699594333330206,"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."}}