{"id":"W36344027","doi":"10.1016/b978-0-12-801291-8.00008-x","title":"Combining LORETA Z-Score Neurofeedback with Heart Rate Variability Training","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"ADD Centre","funders":"","keywords":"Neurofeedback; Terminology; Neuroanatomy; Intervention (counseling); Heart rate variability; Neurophysiology; Psychology; Physical medicine and rehabilitation; Computer science; Medicine; Electroencephalography; Neuroscience; Heart rate; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022662,0.0008155104,0.002002654,0.0001669977,0.0002008945,0.00007830926,0.000224803,0.0005971057,0.0008370677],"category_scores_gemma":[0.0002031918,0.00067398,0.0004460559,0.00002871278,0.0004943091,0.00004776503,0.0001184987,0.001683617,0.0003015117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826539,"about_ca_system_score_gemma":0.001064871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002161321,"about_ca_topic_score_gemma":0.00001231336,"domain_scores_codex":[0.9964809,0.0002433252,0.0009966699,0.001190495,0.0004026847,0.0006859719],"domain_scores_gemma":[0.9967373,0.0007169298,0.000331554,0.00148101,0.000232772,0.0005004457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003340437,0.00004919639,0.0003050923,0.0007216532,0.000437502,0.0001073519,0.0009303684,0.000009692936,0.001515584,0.01287344,0.0001383908,0.9825777],"study_design_scores_gemma":[0.002179819,0.0006790371,0.001010946,0.001366343,0.0006228818,0.0001387761,0.00001581025,0.0002768184,0.00006643269,0.003664942,0.9892862,0.0006919757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003971797,0.00007241576,0.0001229507,0.001538888,0.0004584152,0.001801749,0.00003611057,0.0002545817,0.9917431],"genre_scores_gemma":[0.1379538,0.000008922707,0.0006596582,0.004229608,0.0007481874,0.00006274466,0.00007482831,0.0002183883,0.8560438],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9891478,"threshold_uncertainty_score":0.9995711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931609380362108,"score_gpt":0.2414781842051458,"score_spread":0.2121620904015247,"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."}}