{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003761531,0.0003191111,0.0001642559,0.0006805061,0.0002056218,0.0005567287,0.0002429923,0.000284253,0.0009457114],"category_scores_gemma":[0.002284216,0.0001182301,0.0001056369,0.0005114497,0.0002136825,0.0004388736,0.000197201,0.000299913,0.00009481295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365104,"about_ca_system_score_gemma":0.0001558639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043558,"about_ca_topic_score_gemma":0.007703433,"domain_scores_codex":[0.9998272,0.00006991003,0.00001363653,0.00003743891,0.00003365502,0.00001830457],"domain_scores_gemma":[0.9995213,0.0002161953,0.0001415988,0.0000250579,0.00006452765,0.00003139505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001944246,0.0004808258,0.7700642,0.0003172825,0.0007733767,0.0004228068,0.0008222878,0.003737925,0.08872689,0.001254384,0.001018985,0.1304368],"study_design_scores_gemma":[0.0000285836,0.0001964446,0.9926131,0.0000158997,0.00009305475,0.0002507079,0.0002197211,0.002353844,0.003134777,0.0008673297,0.0002192468,0.000007242913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929871,0.0008316032,0.002931229,0.0001304164,0.00001065367,0.00005157762,0.0002352401,0.00001541274,0.002806801],"genre_scores_gemma":[0.9985632,0.0002498252,0.0007840001,0.00003149651,0.00001279585,0.00002777059,0.00007995043,0.0000030137,0.0002479849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004043558,"threshold_uncertainty_score":0.008040011,"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."}}