{"id":"W1969683207","doi":"10.1515/bmt.2010.011","title":"Spectral features of EEG in depression","year":2010,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Tallinna Tehnikaülikool; Eesti Teadusfondi; European Commission; University of Manitoba","keywords":"Electroencephalography; Audiology; Depression (economics); Psychology; Balance (ability); Medicine; Psychiatry; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003591636,0.0002524982,0.0003331218,0.0006458065,0.00003558982,0.0000302914,0.0007222439,0.0003243337,0.00007488269],"category_scores_gemma":[0.0007107501,0.0002072203,0.00009720133,0.0009469339,0.0003050271,0.0001493644,0.0002366303,0.0008968142,0.00001405236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001803467,"about_ca_system_score_gemma":0.00004277875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001910005,"about_ca_topic_score_gemma":0.000004333263,"domain_scores_codex":[0.9979624,0.00002266342,0.0004652874,0.0004852431,0.0005531848,0.0005112756],"domain_scores_gemma":[0.9989676,0.0003026262,0.00009364024,0.0003903957,0.00001775684,0.0002279621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001323845,0.0001385121,0.000154826,0.00006384019,0.000003407004,0.00005194314,0.000097731,0.00001233069,0.9877721,0.001387627,0.0006447179,0.009659743],"study_design_scores_gemma":[0.0005055224,0.0001043018,0.006762698,0.0001379277,0.000004718604,0.0001163756,0.00001426975,0.00310592,0.9587908,0.00009940462,0.03010072,0.0002573223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911723,0.0001046743,0.004179798,0.0004493663,0.001747875,0.0002695254,0.00002389096,0.0005538402,0.001498734],"genre_scores_gemma":[0.9885687,0.00001445829,0.01098934,0.00008238845,0.0002272088,0.00002283668,0.00000497573,0.00003364506,0.00005649565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.029456,"threshold_uncertainty_score":0.8450199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009827954238181455,"score_gpt":0.252878218640027,"score_spread":0.2430502644018456,"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."}}