{"id":"W4409245564","doi":"10.2196/65629","title":"Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Physical medicine and rehabilitation; Kinematics; Gait analysis; Parkinson's disease; Trunk; STRIDE; Feature (linguistics); Computer science; Artificial intelligence; Medicine; Disease; Pathology; Biology","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":[0.002943883,0.0009187371,0.0007088167,0.001127417,0.0002585454,0.0004684775,0.0006305655,0.0007263726,0.001107243],"category_scores_gemma":[0.004508577,0.0002621373,0.001063672,0.0006781348,0.000241461,0.0004255017,0.0005294046,0.0004633726,0.0004923661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444793,"about_ca_system_score_gemma":0.0007443335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008754694,"about_ca_topic_score_gemma":0.005115401,"domain_scores_codex":[0.9993204,0.0002164549,0.00006580526,0.0001320261,0.000201295,0.00006404938],"domain_scores_gemma":[0.9978141,0.0007547728,0.0001386418,0.0002676701,0.0009571393,0.00006756506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001271672,0.003639619,0.05148559,0.0005497458,0.001029399,0.0002874676,0.0002397192,0.2031396,0.05100965,0.0008312662,0.003961909,0.6825545],"study_design_scores_gemma":[0.00009927481,0.001866062,0.03124272,0.00005901391,0.0001834888,0.0001706486,0.00007350181,0.9549827,0.009888255,0.0001739283,0.001228582,0.00003187566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7752513,0.001433372,0.2181984,0.0001454796,0.0001152588,0.0007142476,0.0009769733,0.001556247,0.001608578],"genre_scores_gemma":[0.9252845,0.0003479391,0.07102589,0.00002822138,0.00001056173,0.0003453566,0.001860793,0.00003993399,0.001056804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008754694,"threshold_uncertainty_score":0.01740748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773467644123984,"score_gpt":0.4235724482513907,"score_spread":0.3462256838389923,"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."}}