{"id":"W2926260818","doi":"10.1016/j.neuroimage.2019.03.051","title":"Cortical reactivations during sleep spindles following declarative learning","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; McGill University; Concordia University","funders":"Canadian Institutes of Health Research; Horizon 2020 Framework Programme; Concordia University; Fonds De La Recherche Scientifique - FNRS; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Sleep spindle; Fusiform gyrus; Memory consolidation; Functional magnetic resonance imaging; Psychology; Electroencephalography; Recall; Sleep (system call); Neuroscience; Lingual gyrus; Free recall; Audiology; Cognitive psychology; Slow-wave sleep; Hippocampus; Medicine; Computer science","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":[0.0002081165,0.000275702,0.0002946179,0.00024253,0.0001632757,0.0003872809,0.0002318606,0.0002484868,0.003360047],"category_scores_gemma":[0.001783433,0.000193906,0.0001404169,0.0003055685,0.000457174,0.000316164,0.0003335311,0.0007105711,0.0003631718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851477,"about_ca_system_score_gemma":0.0001752289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228346,"about_ca_topic_score_gemma":0.002665304,"domain_scores_codex":[0.9999257,0.00001216546,0.000006133107,0.00001184416,0.00001712803,0.00002702585],"domain_scores_gemma":[0.999426,0.0002662592,0.0001565059,0.00005245931,0.00005001045,0.00004866327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01020876,0.0003608993,0.02395341,0.0002813668,0.0001904155,0.0007801044,0.001583103,0.0006229971,0.9005297,0.0008742969,0.0007880717,0.05982671],"study_design_scores_gemma":[0.0001403413,0.00127497,0.9179335,0.0000549781,0.00007288481,0.0008573024,0.0008707232,0.001828394,0.07417729,0.001721207,0.001044509,0.00002389161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956311,0.0004062424,0.001627494,0.00009095181,0.00003698729,0.00002455143,0.0002261215,0.00003472646,0.001921745],"genre_scores_gemma":[0.9983393,0.0001927878,0.0002294671,0.00003681374,0.00001658205,0.00002810139,0.0001895563,0.00001809641,0.000949398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360047,"threshold_uncertainty_score":0.01124042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521387715775792,"score_gpt":0.3033328601712638,"score_spread":0.2681189830135058,"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."}}