{"id":"W4390195190","doi":"10.1002/alz.073696","title":"Identifying Individualized Neurophysiological Causal Features for Working Memory Performance: Implications for Non‐Invasive Brain Stimulation","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Working memory; Electroencephalography; Causality (physics); Neurophysiology; Psychology; Brain stimulation; Personalization; Cognitive psychology; Computer science; Neuroscience; Cognition; Stimulation","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":[0.005881919,0.0007357112,0.0006289323,0.0006483788,0.0001778623,0.001089013,0.0005746071,0.0006633631,0.00299609],"category_scores_gemma":[0.03978619,0.0002442971,0.0008655137,0.0004662057,0.0009462865,0.000994837,0.0005335751,0.0007906443,0.0001192954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003627773,"about_ca_system_score_gemma":0.0007828608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007977802,"about_ca_topic_score_gemma":0.0010473,"domain_scores_codex":[0.9984215,0.001001338,0.0001222082,0.0002394983,0.0001606959,0.00005473674],"domain_scores_gemma":[0.9633746,0.03211994,0.002217837,0.001577656,0.0004619796,0.0002479835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006032388,0.002217653,0.3229223,0.003597546,0.002514022,0.0005731221,0.001203437,0.05140314,0.04133425,0.01317023,0.002539766,0.5524922],"study_design_scores_gemma":[0.000736898,0.002450092,0.6540886,0.0009999147,0.001918241,0.0006952649,0.0008068915,0.1936973,0.01451362,0.1259945,0.003941283,0.0001574603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6612386,0.00628927,0.323219,0.004021917,0.0001760754,0.0005197664,0.0009422733,0.0005852162,0.00300785],"genre_scores_gemma":[0.9716162,0.0005255192,0.02696891,0.0002303319,0.00006169139,0.0002462876,0.0001484686,0.00003139388,0.0001711872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005881919,"threshold_uncertainty_score":0.03110695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107058819935895,"score_gpt":0.3496698507796738,"score_spread":0.2389639687860844,"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."}}