{"id":"W4388606133","doi":"10.1016/j.jad.2023.11.017","title":"Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers","year":2023,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto; Alberta Hospital Edmonton","funders":"","keywords":"Bipolar disorder; Major depressive disorder; Schizophrenia (object-oriented programming); Psychology; Electroencephalography; Psychiatry; Mood; Mood disorders; Audiology; Anxiety; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114039,0.0007498661,0.0004123818,0.001121409,0.0003242469,0.000651738,0.0005631472,0.00077242,0.001548882],"category_scores_gemma":[0.003289785,0.0002027446,0.0003749191,0.0003724196,0.0001960017,0.0004496076,0.0006693536,0.0007511317,0.0003558292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625826,"about_ca_system_score_gemma":0.0008113296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453018,"about_ca_topic_score_gemma":0.005869875,"domain_scores_codex":[0.9997717,0.00005166919,0.00003271508,0.00006696707,0.00003963821,0.00003742591],"domain_scores_gemma":[0.9993802,0.0002513457,0.0001073648,0.00004399355,0.0001587338,0.00005841976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002208838,0.001241189,0.4042182,0.0001995958,0.0007492962,0.0005829093,0.0001620655,0.02830244,0.02926496,0.003030284,0.0128969,0.5171434],"study_design_scores_gemma":[0.0005144578,0.0008674334,0.1578589,0.0001281238,0.0003092901,0.001944621,0.0002754193,0.8023023,0.02249958,0.01036263,0.002869969,0.000067267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.866827,0.001055091,0.12297,0.001174752,0.0001779365,0.0003778853,0.002088209,0.00101147,0.004317713],"genre_scores_gemma":[0.9520037,0.0002365913,0.04443216,0.0003189592,0.00003383052,0.000176183,0.001623222,0.00004149463,0.00113392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003453018,"threshold_uncertainty_score":0.006865859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171288015513483,"score_gpt":0.2696025696595781,"score_spread":0.2478896895044432,"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."}}