{"id":"W4409438895","doi":"10.3390/clockssleep7020019","title":"Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach","year":2025,"lang":"en","type":"article","venue":"Clocks & Sleep","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Generalizability theory; REM sleep behavior disorder; Cognition; Brier score; Rating scale; Rapid eye movement sleep; Concordance; Medicine; Psychology; Disease; Clinical psychology; Machine learning; Parkinson's disease; Eye movement; Psychiatry; Internal medicine; Developmental psychology; Neuroscience; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139382,0.0001607058,0.0002593408,0.0001871613,0.0001523129,0.00002168037,0.00004420183,0.00009753526,0.00006266826],"category_scores_gemma":[0.00005377861,0.000143344,0.00004469699,0.0002830574,0.0000241428,0.00007968279,0.00008551403,0.0002830763,0.00000907311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008283323,"about_ca_system_score_gemma":0.00003905476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884522,"about_ca_topic_score_gemma":0.000009484181,"domain_scores_codex":[0.9990276,0.00004863234,0.0001794978,0.0003513567,0.0001191389,0.0002737461],"domain_scores_gemma":[0.9996324,0.00003101095,0.00004468373,0.0001389924,0.00003485359,0.0001180148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004582142,0.0004924405,0.9771632,0.0002410112,0.0001747894,0.0001841498,0.0004746995,0.0001401646,0.0009774721,0.0002234579,0.000102257,0.01936817],"study_design_scores_gemma":[0.01692351,0.0007727637,0.09694803,0.0006389616,0.0006662149,0.00007482662,0.002173882,0.8402018,0.002302386,0.0008095751,0.03804007,0.000447985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809666,0.002844022,0.003675342,0.0003225093,0.0001121074,0.0005210401,0.000005011191,0.0001326948,0.01142066],"genre_scores_gemma":[0.9965826,0.0001083473,0.0004671009,0.0002847774,0.00002713089,0.00004101495,0.00007202102,0.00001667425,0.002400282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8802152,"threshold_uncertainty_score":0.5845401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006773413239005293,"score_gpt":0.2467423892203682,"score_spread":0.2399689759813629,"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."}}