{"id":"W1977488274","doi":"10.1016/j.bandc.2015.01.011","title":"Sleep and memory consolidation: Motor performance and proactive interference effects in sequence learning","year":2015,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"Université de Genève; Fonds De La Recherche Scientifique - FNRS","keywords":"Memory consolidation; Sequence learning; Consolidation (business); Psychology; Motor learning; Sleep (system call); Interference theory; Motor skill; Audiology; Cognitive psychology; Cognition; Developmental psychology; Computer science; Neuroscience; Medicine; Working memory","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":[],"consensus_categories":[],"category_scores_codex":[0.0002446839,0.00007753919,0.00008562757,0.00009235449,0.00009700719,0.00007451545,0.00003706522,0.00004065119,0.000004553239],"category_scores_gemma":[0.001037235,0.00007190785,0.000004893623,0.0001250412,0.000197751,0.0003531708,0.00006008456,0.0001778006,0.000006264576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001517294,"about_ca_system_score_gemma":0.00002086792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008950012,"about_ca_topic_score_gemma":0.000004264459,"domain_scores_codex":[0.9992056,0.0001859102,0.00007928636,0.0002559948,0.0001299228,0.0001433166],"domain_scores_gemma":[0.9994305,0.0003660035,0.00002869844,0.000042969,0.00004102788,0.00009074416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005883807,0.000096027,0.01514431,0.0002797215,0.00000792133,0.0000623118,0.004775695,0.000008387549,0.1934644,0.0009031229,0.00003692022,0.7846329],"study_design_scores_gemma":[0.00726495,0.002533535,0.1119731,0.0006093934,0.00002972144,0.0004428167,0.003444894,0.1185603,0.7483962,0.005668581,0.0003172668,0.0007593128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964406,0.00005770717,0.0002320653,0.0002277418,0.0000350963,0.0002949862,0.000002242249,0.0000231966,0.002686363],"genre_scores_gemma":[0.9994527,0.00006469108,0.00003096383,0.0002289207,0.00002126287,0.00007013134,0.000002840174,0.000005366953,0.0001230882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7838735,"threshold_uncertainty_score":0.2932317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06912659513288591,"score_gpt":0.3023528507614711,"score_spread":0.2332262556285852,"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."}}