{"id":"W4388451033","doi":"10.25071/2817-5344/55","title":"Detecting Parkinson’s Disease Using Machine Learning from Movement","year":2023,"lang":"en","type":"article","venue":"Canadian Journal for the Academic Mind","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Accelerometer; Movement (music); Computer science; Artificial intelligence; Convolutional neural network; Parkinson's disease; Finger tapping; Gyroscope; Physical medicine and rehabilitation; Physics; Audiology; Medicine; Disease; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006817624,0.0006783211,0.0004481607,0.001474762,0.0001694027,0.0006156514,0.0002899023,0.0006105094,0.0006643549],"category_scores_gemma":[0.003210683,0.0001475265,0.000594795,0.0007784034,0.0001512531,0.0005251086,0.0003629593,0.0004243008,0.0004662652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545133,"about_ca_system_score_gemma":0.0003152502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005641745,"about_ca_topic_score_gemma":0.009719132,"domain_scores_codex":[0.9995847,0.00009805099,0.00004138548,0.0001311445,0.00008999389,0.00005474493],"domain_scores_gemma":[0.99918,0.0004625919,0.0001204218,0.00004052357,0.0001627928,0.000033604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000874262,0.0006004879,0.2341205,0.0003836216,0.0003871403,0.0006348867,0.0002248501,0.09095934,0.01293299,0.0009456113,0.0040404,0.653896],"study_design_scores_gemma":[0.00004233251,0.000516442,0.1579283,0.000212414,0.0001544592,0.0007418623,0.0002615264,0.8256511,0.00692952,0.003882798,0.003619233,0.00005997791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635957,0.006113225,0.1174015,0.001050871,0.0003108169,0.0002548654,0.003806147,0.001133673,0.006333203],"genre_scores_gemma":[0.9713944,0.0007047515,0.02503332,0.0001181224,0.00005419797,0.00004770468,0.001659246,0.000012752,0.0009756174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005641745,"threshold_uncertainty_score":0.01121783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218212330156087,"score_gpt":0.3137347744002502,"score_spread":0.2415526510986893,"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."}}