{"id":"W4401656041","doi":"10.1101/2024.08.13.607843","title":"EEG source imaging technique to investigate sleep oscillations for simultaneous EEG-fMRI","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital; École de Technologie Supérieure; McGill University; Institut Universitaire de Gériatrie de Montréal; Concordia University","funders":"","keywords":"Electroencephalography; EEG-fMRI; Sleep (system call); Psychology; Neuroscience; Audiology; Computer science; Medicine","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":[0.000518725,0.0006669883,0.0003305587,0.0005304436,0.0001419748,0.0002755653,0.0002417368,0.000379897,0.001985733],"category_scores_gemma":[0.001684147,0.0002051856,0.0003811711,0.0005720791,0.000179518,0.0002762659,0.0002591578,0.0003675685,0.0004584387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008136237,"about_ca_system_score_gemma":0.0002467282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007085689,"about_ca_topic_score_gemma":0.001416355,"domain_scores_codex":[0.9997638,0.00007194438,0.0000198273,0.0000684632,0.0000537765,0.00002226545],"domain_scores_gemma":[0.9996346,0.0001666289,0.00004043922,0.00004908195,0.00009783346,0.0000114128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005721287,0.00007407625,0.00307235,0.0003617363,0.00008136444,0.0001027421,0.0001114739,0.001742927,0.9184698,0.00046029,0.0002734505,0.07467766],"study_design_scores_gemma":[0.0002101332,0.003671245,0.2560281,0.00008146237,0.0005094011,0.002317069,0.0002739652,0.1231267,0.6033149,0.002434666,0.007917939,0.0001144433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3313698,0.0007734926,0.6639528,0.0001099593,0.0001083251,0.0004669575,0.0007009549,0.001244491,0.001273066],"genre_scores_gemma":[0.6152138,0.0005243493,0.3816868,0.00008558763,0.00005732535,0.0007119235,0.0005099507,0.0002459583,0.0009643359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001985733,"threshold_uncertainty_score":0.006642938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772110336574793,"score_gpt":0.2500425877163236,"score_spread":0.2323214843505757,"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."}}