{"id":"W4398167607","doi":"10.2196/50117","title":"Machine Learning Models for Parkinson Disease: Systematic Review","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parkinson's disease; Computer science; Disease; Systematic review; Medicine; MEDLINE; Data science; Artificial intelligence; 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":[0.0007487445,0.0001748902,0.0006001274,0.00009908913,0.0000631368,0.00004600132,0.0001437082,0.0001110443,0.0002527621],"category_scores_gemma":[0.0008225708,0.0001158969,0.0002458634,0.0002329996,0.00004811366,0.0002588661,0.00004171441,0.0004198568,0.0001848562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004893095,"about_ca_system_score_gemma":0.0002640278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001609786,"about_ca_topic_score_gemma":0.00000104066,"domain_scores_codex":[0.9978782,0.00003152155,0.0008447688,0.0001057215,0.0008605437,0.0002792803],"domain_scores_gemma":[0.9988756,0.0002046742,0.00009347613,0.0002606186,0.00007269402,0.0004929643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002299741,0.00005634185,0.00002240404,0.977159,0.0001219301,0.00003889454,0.00080286,0.00001313407,3.083854e-7,0.002671635,0.01582364,0.003266828],"study_design_scores_gemma":[0.0005028874,0.000120252,0.000004450945,0.2549314,0.0006909727,0.00006268024,0.0003289664,0.6638708,0.000001469811,0.0005589341,0.07877064,0.0001566059],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002470433,0.785526,0.1265368,0.03509605,0.0009919597,0.01831329,0.0001370362,0.002178485,0.02874995],"genre_scores_gemma":[0.432984,0.3789898,0.01265731,0.1278241,0.001599228,0.01050662,0.003927435,0.0004610853,0.0310504],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7222277,"threshold_uncertainty_score":0.4726139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273584571513518,"score_gpt":0.3247353949220119,"score_spread":0.29737693777066,"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."}}