{"id":"W4411133658","doi":"10.1155/atr/2432974","title":"Design and Application of Digital Twin‐Based Brain Control System","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jilin Scientific and Technological Development Program; People's Government of Jilin Province","keywords":"Control (management); Computer science; Control system; Engineering; Artificial intelligence; Electrical engineering","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":[0.0001923247,0.0003968015,0.0003442937,0.000474969,0.0005319209,0.000624969,0.0009677552,0.0005353933,0.003544948],"category_scores_gemma":[0.0003704035,0.0001849818,0.0002536502,0.0002522452,0.0002970397,0.0005703527,0.0005909185,0.0002312009,0.0007324189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823251,"about_ca_system_score_gemma":0.000696597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716812,"about_ca_topic_score_gemma":0.00168188,"domain_scores_codex":[0.9996647,0.00003195753,0.00002705136,0.0001074634,0.0001337094,0.0000352016],"domain_scores_gemma":[0.9998618,0.0000110889,0.00001549599,0.00001418874,0.00007870849,0.00001871308],"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":[0.0008624005,0.0002884454,0.005296383,0.0008808258,0.0001345774,0.001494506,0.0007379855,0.1103122,0.3982204,0.0207505,0.009387489,0.4516343],"study_design_scores_gemma":[0.0001306266,0.001355171,0.003442725,0.00005409761,0.0001271938,0.001353926,0.0001407174,0.8630304,0.0936842,0.002766054,0.03382796,0.00008700379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07385754,0.0004818029,0.8961826,0.0004908675,0.0003444276,0.0004719054,0.000133895,0.002526412,0.02551057],"genre_scores_gemma":[0.9186399,0.0002691297,0.07127053,0.0001501273,0.00004306727,0.00029457,0.00009849026,0.00003675303,0.009197426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003544948,"threshold_uncertainty_score":0.01185906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009989488208292076,"score_gpt":0.2590829932805399,"score_spread":0.2490935050722478,"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."}}