{"id":"W4213243556","doi":"10.1093/cercor/bhac042","title":"From temporal to spatial topography: hierarchy of neural dynamics in higher- and lower-order networks shapes their complexity","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Horizon 2020 Framework Programme; Canadian Institutes of Health Research; Ministry of Science and Technology","keywords":"Hierarchy; Computer science; Artificial neural network; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315765,0.0002020193,0.0003258902,0.0001635757,0.0002739156,0.00002982085,0.000281532,0.00003977459,0.0004017408],"category_scores_gemma":[0.0002485283,0.0001981372,0.0000784143,0.0006945996,0.000278387,0.000121143,0.0007058583,0.0003617469,0.000001597622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124126,"about_ca_system_score_gemma":0.00002828779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002854541,"about_ca_topic_score_gemma":0.00469759,"domain_scores_codex":[0.9982825,0.0002357128,0.0002710718,0.0006031722,0.0002995481,0.0003080218],"domain_scores_gemma":[0.9984525,0.001119988,0.00009964249,0.0002093116,0.00003437673,0.00008415154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002448051,0.001017626,0.9257823,0.00005003439,0.0000967801,0.0001834409,0.001951247,0.01161292,0.01001656,0.01968182,0.003679326,0.02347988],"study_design_scores_gemma":[0.0008319661,0.0007323423,0.8116231,0.00001098017,0.000009752303,0.000007283466,0.0004500048,0.1760935,0.0001497881,0.008286409,0.001454598,0.0003503409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924808,0.00006733278,0.0003527048,0.004944541,0.0009538701,0.0003231518,0.0003382926,0.00005734355,0.0004819597],"genre_scores_gemma":[0.9966521,0.000003165474,0.000149939,0.002871961,0.0001486698,0.00004123719,0.00002780361,0.00002091983,0.00008420402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1644805,"threshold_uncertainty_score":0.8079802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582616531748227,"score_gpt":0.2528336687569512,"score_spread":0.2070075034394689,"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."}}