{"id":"W2210641378","doi":"","title":"The Integration of Genetic Algorithm and SVM Classification to Diagnose Parkinson's Disease","year":2015,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Artificial intelligence; Selection (genetic algorithm); Computer science; Disease; Pattern recognition (psychology); Statistical classification; Parkinson's disease; Genetic algorithm; Machine learning; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002963851,0.00006879435,0.0001946255,0.00005018896,0.00006130338,0.000006303434,0.00004124534,0.00003849517,3.036299e-7],"category_scores_gemma":[0.0002912423,0.00003839402,0.0000231171,0.00007283837,0.0001136723,0.00003602061,0.00002738935,0.0001924154,5.242248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001604928,"about_ca_system_score_gemma":0.00004448794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001190638,"about_ca_topic_score_gemma":8.844844e-7,"domain_scores_codex":[0.9993638,0.00001518442,0.0002774442,0.00007154859,0.0001938356,0.00007822562],"domain_scores_gemma":[0.9993852,0.0001116274,0.0001744953,0.00005360354,0.0001202362,0.0001547731],"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":[0.0007927758,0.00007416377,0.0442399,0.00007878376,0.0002781097,0.000009020251,0.007496287,0.00001614654,0.005346917,0.0009084995,0.02070311,0.9200563],"study_design_scores_gemma":[0.003542118,0.0008338172,0.8305222,0.0004314143,0.0007642888,0.00006465575,0.09121034,0.0004933562,0.002120304,0.008761046,0.06103894,0.000217471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556966,0.03224682,0.001330871,0.01033116,0.00006833511,0.0001916704,0.000001809974,0.000003580882,0.000129163],"genre_scores_gemma":[0.9605477,0.03701385,0.001835784,0.0003742324,0.0001625675,0.000009503014,4.322384e-7,0.000004735626,0.00005119403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9198388,"threshold_uncertainty_score":0.1565662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06971885441445888,"score_gpt":0.3512555061076679,"score_spread":0.2815366516932091,"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."}}