{"id":"W2095196515","doi":"10.1089/brain.2011.0009","title":"Synchrony of Two Brain Regions Predicts the Blood Oxygen Level Dependent Activity of a Third","year":2011,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Neurophysiology; Coherence (philosophical gambling strategy); Neuroscience; Blood-oxygen-level dependent; Functional magnetic resonance imaging; Synchronization (alternating current); Electroencephalography; Coupling (piping); Coupling strength; SIGNAL (programming language); Electrophysiology; Network dynamics; Functional connectivity; Physics; Brain activity and meditation; Brain mapping; Psychology; Computer science; Mathematics","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":[0.0009855407,0.000231249,0.000351505,0.0001102145,0.0002232406,0.00001943003,0.0005124611,0.0001034802,0.00005481105],"category_scores_gemma":[0.003703827,0.0001731041,0.0001944438,0.0004360575,0.0004061703,0.0002889961,0.0002588482,0.0003255768,0.000007092836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000371131,"about_ca_system_score_gemma":0.0001323001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000999255,"about_ca_topic_score_gemma":0.001039793,"domain_scores_codex":[0.997584,0.000703123,0.0003178593,0.0005771877,0.0004662517,0.0003515403],"domain_scores_gemma":[0.9956745,0.002956391,0.0004213568,0.0007625348,0.000090834,0.00009440582],"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":[0.0001713242,0.0007263734,0.001645728,0.00005240788,0.00004150098,0.00001799039,0.0006834142,0.00003718421,0.9591962,0.0332762,0.000788281,0.00336338],"study_design_scores_gemma":[0.00153621,0.0006282292,0.0941287,0.00005679213,0.00007164817,0.0001122998,0.0000555683,0.003849807,0.8852737,0.013814,0.0001832096,0.0002898294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853433,0.00001287184,0.006651419,0.002670106,0.0003566684,0.0006157238,0.0001567765,0.00007774693,0.004115379],"genre_scores_gemma":[0.9983034,0.000009068682,0.00009295506,0.00077332,0.00006291538,0.00003582367,0.000001286045,0.00002456371,0.0006966625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09248298,"threshold_uncertainty_score":0.7058978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08337987513428971,"score_gpt":0.2724987743432181,"score_spread":0.1891188992089284,"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."}}