{"id":"W4405100157","doi":"10.2196/55478","title":"Neurological Evidence of Diverse Self-Help Breathing Training With Virtual Reality and Biofeedback Assistance: Extensive Exploration Study of Electroencephalography Markers","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Council; Ministry of Science and Technology, Taiwan; Chang Gung Medical Foundation; Ministry of Education, India","keywords":"Breathing; Electroencephalography; Biofeedback; Neurofeedback; Physical medicine and rehabilitation; Breathing exercises; Medicine; Brain–computer interface; Psychology; Audiology; Neuroscience; Physical therapy; Anesthesia","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":[0.0004023007,0.0002080806,0.0001895646,0.0006474038,0.0001621933,0.0003249156,0.0002052033,0.0003227176,0.00166752],"category_scores_gemma":[0.002095018,0.0001049451,0.0002000261,0.000358537,0.0004164929,0.0003965474,0.0004261219,0.0001973383,0.0001683106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224886,"about_ca_system_score_gemma":0.000168532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007428235,"about_ca_topic_score_gemma":0.001111858,"domain_scores_codex":[0.9997944,0.0000666117,0.00001731857,0.00005049051,0.0000446373,0.00002651782],"domain_scores_gemma":[0.9992409,0.0003317908,0.0002038906,0.00005615537,0.0001140468,0.000053291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003212617,0.001089734,0.4413063,0.002333538,0.0008350956,0.00391339,0.005843428,0.0007775953,0.2201513,0.001010454,0.0009697189,0.3185569],"study_design_scores_gemma":[0.00004123201,0.001102288,0.987075,0.0001030464,0.0001773955,0.003337984,0.001145154,0.0005670189,0.004789849,0.0004251322,0.001219078,0.00001678577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943426,0.001695034,0.002044,0.00007929683,0.000006528881,0.00004984005,0.0001094113,0.00001281382,0.001660513],"genre_scores_gemma":[0.9980489,0.0006540917,0.0008928364,0.00003817898,0.000009988423,0.00003114735,0.00007150563,0.000002822441,0.0002505517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00166752,"threshold_uncertainty_score":0.005578458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140485637405832,"score_gpt":0.3975690179350803,"score_spread":0.2835204541944971,"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."}}