{"id":"W1518568231","doi":"10.1002/hbm.22547","title":"Oscillations, networks, and their development: MEG connectivity changes with age","year":2014,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Resting state fMRI; Neurophysiology; Psychology; Neuroscience; Functional connectivity; Brain mapping; Brain activity and meditation; Electroencephalography","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":[0.0002245279,0.0001301735,0.0001191073,0.00047274,0.00009881802,0.0002288553,0.0001073089,0.000208482,0.0009066585],"category_scores_gemma":[0.001653674,0.0001016102,0.00008991628,0.0002527033,0.0001720878,0.0003988236,0.0002229888,0.0001398785,0.0001361943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007988512,"about_ca_system_score_gemma":0.00006822103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006229871,"about_ca_topic_score_gemma":0.001221062,"domain_scores_codex":[0.9999304,0.00001309391,0.000006002173,0.00002538957,0.00001479346,0.00001033855],"domain_scores_gemma":[0.9996812,0.0001109962,0.0001104856,0.00002525349,0.00004937188,0.00002272056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006034868,0.0001159169,0.6994368,0.0001407689,0.0001204984,0.0007447875,0.003906358,0.0006625655,0.1985469,0.0007287866,0.0006255388,0.09436773],"study_design_scores_gemma":[0.000001941999,0.00006798829,0.9966583,0.000004145457,0.00001147476,0.0004050888,0.0001601354,0.0002972091,0.001769764,0.0001829258,0.0004373643,0.000003583648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977539,0.0002467734,0.001048053,0.00003013635,0.000003094794,0.000008003552,0.0002104524,0.00001103227,0.000688498],"genre_scores_gemma":[0.9986264,0.0001478672,0.0008495198,0.000008346918,0.00000540543,0.00001515933,0.0001149947,0.000005202716,0.0002272927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009066585,"threshold_uncertainty_score":0.003033042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913752173531296,"score_gpt":0.2290519641656177,"score_spread":0.1899144424303047,"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."}}