{"id":"W3036939434","doi":"10.1162/netn_a_00153","title":"Signal propagation via cortical hierarchies","year":2020,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canada Research Chairs; Canada First Research Excellence Fund; McGill University; Centre Hospitalier Universitaire Vaudois; Natural Sciences and Engineering Research Council of Canada","keywords":"Hierarchy; Embedding; Computer science; Path (computing); Transmission (telecommunications); Topology (electrical circuits); Theoretical computer science; Artificial intelligence; Telecommunications; Mathematics; Computer network","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":[0.0002009949,0.0001767322,0.0001723916,0.00003488431,0.0007586533,0.0001058044,0.0004067932,0.00003611212,0.00004533234],"category_scores_gemma":[0.006955144,0.0001601169,0.00006203407,0.00120376,0.000641137,0.0003720944,0.0002603158,0.0003614745,0.0001408415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002259403,"about_ca_system_score_gemma":0.00005900794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001614424,"about_ca_topic_score_gemma":0.000001498747,"domain_scores_codex":[0.9974837,0.0002630795,0.0002219779,0.0008820263,0.0006456014,0.0005036367],"domain_scores_gemma":[0.9973668,0.002122983,0.0000837049,0.0001805338,0.00003715749,0.0002087667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001058624,0.00005863644,0.002080707,0.00001352213,9.670705e-7,0.00005988137,0.0002057306,0.01253176,0.9606333,0.008023071,0.01208766,0.004198856],"study_design_scores_gemma":[0.0008561466,0.002066414,0.04676213,0.00003384272,0.00002526004,0.0001737451,0.00003448766,0.6287392,0.2126659,0.007140311,0.1004814,0.001021123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5590535,0.0001467147,0.2974478,0.1196508,0.005146869,0.001921717,0.00002639921,0.00199076,0.01461539],"genre_scores_gemma":[0.9495583,0.00001452708,0.0002366131,0.0494041,0.0006335289,0.0000266065,4.084698e-7,0.00001642631,0.0001094533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7479674,"threshold_uncertainty_score":0.832646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502560248499733,"score_gpt":0.2577129893955261,"score_spread":0.2026873869105287,"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."}}