{"id":"W4393495164","doi":"10.3390/app14072979","title":"Classification of Parkinson’s Disease Using Machine Learning with MoCA Response Dynamics","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parkinson's disease; Dynamics (music); Artificial intelligence; Computer science; Machine learning; Disease; Psychology; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002672982,0.001135609,0.001024189,0.002738895,0.0003222921,0.001167392,0.0006726114,0.0008908785,0.001173544],"category_scores_gemma":[0.007425954,0.0002312995,0.001690424,0.001245418,0.0002714373,0.0005481471,0.0005809303,0.001183475,0.0004246283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007112703,"about_ca_system_score_gemma":0.0008047316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391647,"about_ca_topic_score_gemma":0.007554588,"domain_scores_codex":[0.9991788,0.0002957683,0.0000876246,0.0002281444,0.0001197982,0.00008976333],"domain_scores_gemma":[0.9985838,0.0007092802,0.0002300896,0.0001588311,0.000251587,0.00006647327],"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":[0.002294939,0.0008977488,0.1751505,0.0003770292,0.001926597,0.0005228049,0.0003570591,0.3941098,0.009249546,0.002133416,0.009260172,0.4037205],"study_design_scores_gemma":[0.00002166394,0.000127044,0.01448774,0.0000246972,0.00005896069,0.0001009873,0.00003387991,0.9816372,0.001385295,0.001369225,0.0007223849,0.00003103332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992507,0.003004404,0.3880683,0.0009200391,0.0003589362,0.0005176,0.00253982,0.003075947,0.00226423],"genre_scores_gemma":[0.9238729,0.0003527802,0.07247797,0.0001269114,0.00008194416,0.0003065791,0.001907092,0.00009049472,0.0007832327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01391647,"threshold_uncertainty_score":0.02767092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700766242090589,"score_gpt":0.2990759398556391,"score_spread":0.2620682774347332,"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."}}