{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008192835,0.0004213389,0.0005487158,0.0009396842,0.0002077139,0.0005452312,0.0003793406,0.000599232,0.0003842668],"category_scores_gemma":[0.002051852,0.0001487535,0.0003894381,0.0005580061,0.0002518388,0.000531126,0.0002559935,0.0005716782,0.0001375001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829375,"about_ca_system_score_gemma":0.0005391918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002815091,"about_ca_topic_score_gemma":0.002045648,"domain_scores_codex":[0.9994475,0.0001724938,0.00004481927,0.00008571731,0.0002094383,0.0000399757],"domain_scores_gemma":[0.9993246,0.0003786437,0.00004870643,0.00002722879,0.000199077,0.00002183259],"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":[0.0002016951,0.000301957,0.01087937,0.000179958,0.0003005167,0.0003335109,0.000156238,0.3038737,0.02342146,0.007333802,0.001623882,0.6513939],"study_design_scores_gemma":[0.00001449212,0.0001521968,0.003201098,0.00002285286,0.0000651989,0.0001857039,0.00003046261,0.9870397,0.005460157,0.00240473,0.001403182,0.00002020365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09165721,0.001106369,0.9025897,0.0003635376,0.0001430655,0.00008989866,0.00003791749,0.00075905,0.003253299],"genre_scores_gemma":[0.6807756,0.0006407867,0.3163755,0.00009725857,0.00007275111,0.0000902108,0.00009920728,0.00004009522,0.001808662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002815091,"threshold_uncertainty_score":0.005597353,"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."}}