{"id":"W4377990627","doi":"10.1016/j.pscychresns.2023.111661","title":"Measuring the attention networks and quantitative-electroencephalography correlates of attention in depression","year":2023,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Saint Vincent University; Saint Mary's University; St. Francis Xavier University; Dalhousie University","funders":"St. Francis Xavier University; Mount Saint Vincent University","keywords":"Major depressive disorder; Psychology; Cognition; Electroencephalography; Depression (economics); Association (psychology); Cognitive psychology; Neurophysiology; Clinical psychology; Developmental psychology; Audiology; Neuroscience; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002017923,0.000122071,0.0001471758,0.0007036364,0.0006042056,0.00007609314,0.0002448422,0.0000320703,0.000002641792],"category_scores_gemma":[0.003835855,0.0000973373,0.00006747898,0.002814143,0.0004510864,0.0003048811,0.0002738927,0.0006824663,0.00001107177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001991058,"about_ca_system_score_gemma":0.00002980876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004778342,"about_ca_topic_score_gemma":0.00008021113,"domain_scores_codex":[0.997077,0.0009281781,0.0002533983,0.0005721142,0.0006567599,0.0005125005],"domain_scores_gemma":[0.9944722,0.005056,0.00008551656,0.0002422074,0.0001000424,0.00004401636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008568111,0.00004979419,0.9056038,0.00004436993,0.000005998059,0.000006763257,0.0001005782,0.0009200431,0.08877769,0.002470191,0.0006662363,0.001268827],"study_design_scores_gemma":[0.0003078328,0.00009474652,0.9405114,0.0001385066,0.000004584142,0.00001458507,0.0004669492,0.05271843,0.0003517529,0.005256879,0.00005047425,0.00008383687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906296,0.0007593314,0.0003496716,0.006826934,0.0005800002,0.0003627657,0.000002130029,0.00008144451,0.0004081371],"genre_scores_gemma":[0.9990399,0.0006416902,0.00004003716,0.0001203756,0.00005064797,0.00005212979,0.000001404529,0.00001971412,0.00003405537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08842593,"threshold_uncertainty_score":0.4647122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164641352762057,"score_gpt":0.3611089386581018,"score_spread":0.2446448033818961,"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."}}