{"id":"W4386411596","doi":"10.2196/49898","title":"Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Parkinson Vereniging","keywords":"Finger tapping; Preprint; Touchscreen; Tapping; Keystroke logging; Test (biology); Parkinson's disease; Computer science; Physical medicine and rehabilitation; Psychology; Human–computer interaction; Disease; Audiology; Medicine; World Wide Web; Engineering; Computer security","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":[0.005832513,0.0009009565,0.001084045,0.00212309,0.0003227401,0.001346884,0.0009303626,0.0007485824,0.001698565],"category_scores_gemma":[0.02096891,0.0002806123,0.0007812503,0.0009948693,0.0003595695,0.001427075,0.0009113994,0.0007787762,0.0008153411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005386788,"about_ca_system_score_gemma":0.0004655617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031009,"about_ca_topic_score_gemma":0.003209954,"domain_scores_codex":[0.9974868,0.001121974,0.0002770318,0.0004661674,0.000453454,0.000194555],"domain_scores_gemma":[0.9794749,0.01495767,0.0005312727,0.001123633,0.002764562,0.001147975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003190429,0.02025643,0.1786105,0.001149011,0.0003552834,0.001324892,0.0072986,0.01361613,0.0113445,0.0006593115,0.005922932,0.756272],"study_design_scores_gemma":[0.0009539587,0.03007647,0.47958,0.0005749592,0.0007436509,0.00309025,0.006555781,0.4469508,0.01818823,0.001969217,0.01088975,0.0004268347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928507,0.0001558971,0.004637981,0.00006622521,0.00001816373,0.0003283058,0.0001737197,0.000505658,0.001263504],"genre_scores_gemma":[0.9630284,0.0003113131,0.03285765,0.00006031571,0.00001699507,0.0004434858,0.0008832415,0.00009666055,0.002301998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832513,"threshold_uncertainty_score":0.03084564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328985396767444,"score_gpt":0.4153681491682021,"score_spread":0.2824696094914577,"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."}}