{"id":"W4283710252","doi":"10.7554/elife.75769","title":"Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Kyoto University; Fields Institute for Research in Mathematical Sciences; Compute Canada; Canada First Research Excellence Fund; National Science Foundation","keywords":"Sleep spindle; Neocortex; Neuroscience; Thalamus; Electroencephalography; Memory consolidation; Electrocorticography; Computer science; Slow-wave sleep; Biology; Hippocampus","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":[0.0001935106,0.0002922277,0.0002034097,0.0002839957,0.00006564693,0.0003014662,0.0002129005,0.0002266195,0.0007032503],"category_scores_gemma":[0.001100922,0.0001158698,0.0002133383,0.000277891,0.0001836795,0.0003142504,0.0002795769,0.0003946458,0.0001562289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180665,"about_ca_system_score_gemma":0.0001225182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007399762,"about_ca_topic_score_gemma":0.00128282,"domain_scores_codex":[0.9999454,0.0000079244,0.000003461773,0.0000165368,0.0000121883,0.00001451593],"domain_scores_gemma":[0.9998336,0.00005661285,0.00004224398,0.00002240486,0.00002524409,0.00001992878],"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":[0.0008870909,0.0002438923,0.03019193,0.0002204611,0.0001448462,0.0003806336,0.0002169606,0.04139058,0.568663,0.00106165,0.002184393,0.3544146],"study_design_scores_gemma":[0.00006136932,0.000416214,0.1952466,0.00003327831,0.00006655048,0.0004041076,0.0001636702,0.7150688,0.0824355,0.004272538,0.001794985,0.00003642259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152899,0.0003389217,0.08241057,0.0002299704,0.00003511166,0.00001641825,0.0002567361,0.0003560101,0.001066345],"genre_scores_gemma":[0.989783,0.0001168643,0.009206739,0.0000394439,0.00001100544,0.00001055576,0.0002178238,0.0000225142,0.000592105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007399762,"threshold_uncertainty_score":0.002352595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920854551052329,"score_gpt":0.2504697277176158,"score_spread":0.2212611822070925,"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."}}