{"id":"W2476650820","doi":"10.1111/desc.12450","title":"Functional brain organization of working memory in adolescents varies in relation to family income and academic achievement","year":2016,"lang":"en","type":"article","venue":"Developmental Science","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"McGovern Institute for Brain Research, Massachusetts Institute of Technology; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; National Institutes of Health; Bill and Melinda Gates Foundation","keywords":"Working memory; Psychology; Family income; Functional magnetic resonance imaging; Developmental psychology; Cognition; Academic achievement; Prefrontal cortex; Task (project management); Executive functions; Cognitive psychology; Neuroscience","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":[0.0002215697,0.0001491424,0.0001213843,0.0004595698,0.0001135346,0.0002355417,0.0001181401,0.0001297835,0.0006123993],"category_scores_gemma":[0.000990842,0.0001177179,0.00009203434,0.0002043991,0.000255984,0.0001760911,0.0001844536,0.0002051884,0.00006608049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108124,"about_ca_system_score_gemma":0.00007038241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190498,"about_ca_topic_score_gemma":0.002123065,"domain_scores_codex":[0.9999294,0.00001636971,0.000004678899,0.00002071847,0.00001504463,0.00001381786],"domain_scores_gemma":[0.9996126,0.00009718095,0.000181805,0.00002534701,0.00003727898,0.00004578812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001739108,0.00007280581,0.9780591,0.00001103773,0.00004661119,0.0001550549,0.0004796371,0.0000933947,0.01310948,0.00008455019,0.00005341227,0.00766095],"study_design_scores_gemma":[9.757387e-7,0.00002210748,0.9992618,0.000001240922,0.000004584988,0.00008132528,0.00008663895,0.00008549917,0.0003973433,0.00003684375,0.00002099037,7.247125e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998083,0.0000256213,0.00005583508,0.000006264977,2.997811e-7,5.083589e-7,0.00001405996,0.000001027097,0.00008824319],"genre_scores_gemma":[0.9998143,0.0000228388,0.0000742299,0.000004398285,8.735907e-7,0.000001544891,0.00002931031,0.000001047885,0.00005146529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001190498,"threshold_uncertainty_score":0.002367079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464083986639708,"score_gpt":0.2816182049032955,"score_spread":0.2369773650368985,"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."}}