{"id":"W1901749759","doi":"10.1002/hbm.22646","title":"Spatial and temporal functional connectivity changes between resting and attentive states","year":2014,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Alberta Children's Hospital Foundation; Sinneave Family Foundation; Children's Hospital Foundation; Natural Sciences and Engineering Research Council of Canada; Alberta Health Services","keywords":"Coactivation; Temporoparietal junction; Default mode network; Functional connectivity; Neuroscience; Task-positive network; Hum; Functional magnetic resonance imaging; Resting state fMRI; Task (project management); Nerve net; Psychology; Dynamic functional connectivity; Middle frontal gyrus; Flexibility (engineering); Rest (music); Set (abstract data type); Brain mapping; Dorsum; Middle temporal gyrus; Computer science; Cognition; Biology; Physics","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":[0.0004595919,0.0001500213,0.0001972638,0.0007396219,0.0001253058,0.0003282054,0.0001841949,0.0002349449,0.001078182],"category_scores_gemma":[0.002202588,0.0001105475,0.000235763,0.0006004877,0.0003362306,0.0003512866,0.0002102823,0.0001600124,0.00007175119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074334,"about_ca_system_score_gemma":0.00008668437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001585583,"about_ca_topic_score_gemma":0.004990913,"domain_scores_codex":[0.9997934,0.0000549779,0.00001448853,0.00009573998,0.00002119817,0.00002021625],"domain_scores_gemma":[0.999199,0.0003713749,0.0002534683,0.00009236435,0.00004686939,0.00003697011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001807465,0.0002010604,0.7199314,0.0006035976,0.003140906,0.0005678324,0.002540986,0.003982926,0.1757895,0.001495831,0.001189591,0.08874885],"study_design_scores_gemma":[0.000005699133,0.00008287941,0.9969024,0.000006460687,0.00009638168,0.000176349,0.00007635762,0.0006182641,0.001280299,0.0005241987,0.0002238613,0.000006775476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965141,0.0005535244,0.001714748,0.0000345372,0.000004071416,0.000009197663,0.0004281143,0.0000239154,0.0007177097],"genre_scores_gemma":[0.9988517,0.000135907,0.0004925652,0.00001368456,0.000006638861,0.00001177945,0.0003966658,0.000006554924,0.00008454746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001585583,"threshold_uncertainty_score":0.003606915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08588141014712303,"score_gpt":0.275109784873866,"score_spread":0.189228374726743,"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."}}