{"id":"W4416798715","doi":"10.1109/icriset64803.2025.11252310","title":"Detection of Automated Parkinson’s disease and Multi Level Feature Enhancement using Artificial Intelligence Techniques","year":2025,"lang":"","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Support vector machine; Feature (linguistics); False positive paradox; Train; Pattern recognition (psychology); Modular design; Sensitivity (control systems)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002724978,0.0003061349,0.000424212,0.0003690798,0.0001766077,0.00004278405,0.0001006699,0.0002407189,0.0001657312],"category_scores_gemma":[0.0002087716,0.0002841722,0.0001144277,0.0006090141,0.0002313312,0.0001386568,0.0001037759,0.0002678584,0.000005325361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490987,"about_ca_system_score_gemma":0.0002969077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000388086,"about_ca_topic_score_gemma":0.0002346367,"domain_scores_codex":[0.998192,0.00007595994,0.0005901759,0.0005143717,0.0002713827,0.0003561282],"domain_scores_gemma":[0.9989862,0.00005898865,0.0001738431,0.0003530129,0.0002458699,0.000182119],"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":[0.0009664337,0.00106953,0.001912104,0.0009903746,0.0003270194,0.00002278523,0.0005162181,0.00001638193,0.3640601,0.0008557552,0.0001597752,0.6291035],"study_design_scores_gemma":[0.000258349,0.0002769438,0.01111969,0.001177496,0.0007224542,0.000002653339,0.002528259,0.1899322,0.7926514,0.0004508718,0.0006114575,0.0002681404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3590787,0.005068259,0.6318416,0.001212508,0.0005520406,0.001498883,0.00002665012,0.0002967294,0.0004245545],"genre_scores_gemma":[0.9816282,0.00114528,0.01524221,0.0003227815,0.00006146199,0.00003368612,0.000008186118,0.000018125,0.001540019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6288353,"threshold_uncertainty_score":0.999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503635214124575,"score_gpt":0.3494615798627043,"score_spread":0.2944252277214586,"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."}}