{"id":"W4200245265","doi":"10.18280/mmep.080610","title":"Cloud-Based Parkinson’s Disease Diagnosis Using Machine Learning","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Random forest; Cloud computing; Python (programming language); Artificial intelligence; Machine learning; Android (operating system); Java; Feature selection; Android app; Operating system","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":[0.0003779687,0.0006109023,0.000809818,0.0007071182,0.0004892587,0.0007793995,0.0007824785,0.000582777,0.002068928],"category_scores_gemma":[0.0009939991,0.0001803863,0.0006529908,0.0005491643,0.0001772795,0.0008676908,0.000741099,0.0004287541,0.0008924982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007119257,"about_ca_system_score_gemma":0.0008444271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007963498,"about_ca_topic_score_gemma":0.007850264,"domain_scores_codex":[0.9996984,0.00004128824,0.00002663672,0.00009401188,0.0000901462,0.00004959013],"domain_scores_gemma":[0.9995837,0.0001408331,0.00005941321,0.00005377661,0.0001177858,0.00004451291],"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":[0.001778817,0.0006583806,0.02968657,0.0005650639,0.00035932,0.002424593,0.0002925807,0.1682681,0.03305518,0.004571183,0.01991743,0.7384229],"study_design_scores_gemma":[0.00004677863,0.00009728985,0.00342799,0.00003278584,0.00005546862,0.0003529665,0.00005618909,0.9807509,0.009526367,0.002649704,0.002979327,0.00002409735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.139454,0.002616988,0.8273429,0.001333849,0.0003686311,0.0003580058,0.001519708,0.01925585,0.007750035],"genre_scores_gemma":[0.8938782,0.0007464297,0.101458,0.0003545465,0.00009990395,0.00010878,0.00100276,0.0001145896,0.002236732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007963498,"threshold_uncertainty_score":0.01583433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479426456675047,"score_gpt":0.2385484756199241,"score_spread":0.2037542110531737,"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."}}