{"id":"W2074987548","doi":"10.1523/jneurosci.2593-12.2013","title":"Training the Emotional Brain: Improving Affective Control through Emotional Working Memory Training","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":352,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Medical Research Council; Gates Cambridge Trust; Cambridge Trust","keywords":"Psychology; Working memory; Cognition; Context (archaeology); Anterior cingulate cortex; Working memory training; Cognitive psychology; Control (management); 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":[0.0001352606,0.000323963,0.0001878503,0.0001541117,0.00009721723,0.0002149621,0.0003093696,0.0002516722,0.001857389],"category_scores_gemma":[0.0002592067,0.00008351364,0.0001406675,0.00006302597,0.0002966732,0.0002366917,0.000276527,0.0004020239,0.0002068514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020728,"about_ca_system_score_gemma":0.0001445782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675433,"about_ca_topic_score_gemma":0.0004932795,"domain_scores_codex":[0.999953,0.000008965942,0.000003791889,0.00001423756,0.000007163341,0.00001277348],"domain_scores_gemma":[0.9999573,0.000007904517,0.00001117464,0.000006557375,0.000003617119,0.00001345075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.004168962,0.007346766,0.0006877059,0.0003267209,0.00006686181,0.00006647011,0.0001038123,0.0006159842,0.8557492,0.0004631771,0.0003178857,0.1300865],"study_design_scores_gemma":[0.003371435,0.0778275,0.09567524,0.0003473313,0.0006859236,0.0008366701,0.0003482668,0.01068928,0.7907068,0.005354017,0.0140948,0.00006262107],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943095,0.0005539125,0.003365194,0.0001699718,0.00004556067,0.00005354768,0.00003269554,0.00005607699,0.001413461],"genre_scores_gemma":[0.9905129,0.001010596,0.006001373,0.000215286,0.00004473114,0.0001457098,0.00006093497,0.00001520331,0.001993252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001857389,"threshold_uncertainty_score":0.006213605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.227455856722736,"score_gpt":0.3634035021586014,"score_spread":0.1359476454358654,"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."}}