{"id":"W4410816908","doi":"10.1016/j.ahr.2025.100240","title":"Commercially available products for the digital tracking of biomarkers in Parkinson's Disease","year":2025,"lang":"en","type":"article","venue":"Aging and Health Research","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Parkinson's disease; Disease; Tracking (education); Medicine; Computer science; Internal medicine; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001656639,0.00008055477,0.0002011765,0.0002511255,0.000283211,0.00004822725,0.0000796478,0.0000241133,0.000006014874],"category_scores_gemma":[0.0003313486,0.00005665919,0.00003576458,0.0004594689,0.0001076048,0.00005605792,0.00005676202,0.0001549714,0.000002872746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019213,"about_ca_system_score_gemma":0.001005516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000497682,"about_ca_topic_score_gemma":0.00005854436,"domain_scores_codex":[0.9987707,0.00006973209,0.0002003733,0.0002816498,0.0002605736,0.0004170068],"domain_scores_gemma":[0.9990532,0.0003450809,0.00003689783,0.0002486027,0.0001494208,0.0001667671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001306202,0.0007296922,0.5414903,0.003172214,0.0002202989,0.00003781763,0.0004121875,0.000001458589,0.00009038838,0.001877972,0.01739825,0.4332632],"study_design_scores_gemma":[0.002820464,0.0002515329,0.7500437,0.001088273,0.00003898692,0.000001779649,0.0004297879,0.0009348328,0.0003208183,0.0009831606,0.2430155,0.000071059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7777686,0.06302734,0.0003054736,0.1496323,0.0002453105,0.005252752,0.0001530049,0.00005742205,0.00355779],"genre_scores_gemma":[0.996951,0.001338426,0.0001900493,0.0004256003,0.00003502359,0.0001248134,0.00002146446,0.00001022079,0.0009033291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4331922,"threshold_uncertainty_score":0.2310495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1868721039273199,"score_gpt":0.4397761631218989,"score_spread":0.252904059194579,"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."}}