{"id":"W3211124320","doi":"10.1038/s41593-021-00970-x","title":"Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits","year":2021,"lang":"en","type":"erratum","venue":"Nature Neuroscience","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Ottawa; Canadian Institute for Advanced Research; Mila - Quebec Artificial Intelligence Institute; University of Toronto; General Dynamics (Canada); Université de Montréal; The Scarborough Hospital","funders":"","keywords":"Neuroscience; Synaptic plasticity; Neuronal circuits; Plasticity; Neuroplasticity; Biological neural network; Spike-timing-dependent plasticity; Metaplasticity; Biology; Psychology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002064497,0.0004646429,0.0005140894,0.000311141,0.0003012724,0.0001342397,0.0005621393,0.0009103433,0.00001430682],"category_scores_gemma":[0.002044596,0.0004989789,0.000102545,0.001172661,0.0001313595,0.0001625863,0.0002064948,0.01254376,0.000005021604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645945,"about_ca_system_score_gemma":0.0002034338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004613672,"about_ca_topic_score_gemma":0.00006623474,"domain_scores_codex":[0.997115,0.000154528,0.0003823377,0.0009537433,0.0006298293,0.0007645717],"domain_scores_gemma":[0.9990175,0.0003325786,0.0001070634,0.000258667,0.00007258938,0.0002115728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002098535,0.0000879963,0.000210436,0.0006149166,0.00001703974,0.004176156,0.0003024102,0.8558691,0.04641987,0.0001314168,0.07079154,0.02135817],"study_design_scores_gemma":[0.0007140201,0.0004083331,0.01004859,0.00197825,0.00007031459,0.001647095,0.0001089589,0.7489749,0.01045489,0.0001744754,0.2230592,0.002360986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1288771,0.007212201,0.02306709,0.001470613,0.81217,0.001483262,0.0001015506,0.00406635,0.02155189],"genre_scores_gemma":[0.9561794,0.0001366569,0.00002335732,0.0003565054,0.001000568,0.00001479247,0.00002590196,0.00008121195,0.04218164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8273023,"threshold_uncertainty_score":0.9997462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396626566673597,"score_gpt":0.2572289060384474,"score_spread":0.2432626403717115,"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."}}