{"id":"W4412014559","doi":"10.18280/isi.300512","title":"Machine Learning Based Framework for Depression Diagnosis Using EEG and ECG Signals","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electroencephalography; Depression (economics); Computer science; Artificial intelligence; Machine learning; Psychology; Pattern recognition (psychology); Speech recognition; Neuroscience","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":[0.0007352014,0.0007418275,0.0006585958,0.001201841,0.0003116846,0.001235184,0.001197242,0.0008961837,0.002314505],"category_scores_gemma":[0.0008308273,0.0002492708,0.0008473679,0.0007255055,0.0003677291,0.0008008528,0.0005711088,0.0007462529,0.001275172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635898,"about_ca_system_score_gemma":0.00109155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006497577,"about_ca_topic_score_gemma":0.006130632,"domain_scores_codex":[0.9996647,0.00006686871,0.00002965629,0.0001069025,0.000101042,0.00003080221],"domain_scores_gemma":[0.9998424,0.00003968807,0.00002079656,0.0000125462,0.00007148106,0.00001310306],"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":[0.0001953728,0.0004537016,0.005646246,0.0005448941,0.0003299665,0.001335931,0.0002573729,0.2956468,0.02765961,0.1113284,0.01288823,0.5437135],"study_design_scores_gemma":[0.00001066388,0.00008126727,0.001181163,0.00004243921,0.00003421364,0.0002246236,0.00002498854,0.9784634,0.001775192,0.01295678,0.00518567,0.00001956049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003604739,0.0009853886,0.9907783,0.0004716579,0.00008275001,0.0001122109,0.0001971117,0.0008774063,0.002890389],"genre_scores_gemma":[0.3318224,0.002430581,0.6526762,0.0003629275,0.0003461695,0.0005073372,0.001081032,0.0000635836,0.01070978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006497577,"threshold_uncertainty_score":0.01291955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719349939543164,"score_gpt":0.2874316657424111,"score_spread":0.2602381663469795,"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."}}