{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003062145,0.0002508379,0.0001700667,0.0009403165,0.0004389334,0.001253971,0.0003614837,0.0003155578,0.002460027],"category_scores_gemma":[0.002714838,0.0003264516,0.0002524774,0.0005397119,0.000683932,0.001362192,0.0008233583,0.0004147213,0.000351548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005968218,"about_ca_system_score_gemma":0.0005053614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035072,"about_ca_topic_score_gemma":0.002380194,"domain_scores_codex":[0.9998029,0.00005207576,0.000008299123,0.00005645675,0.00004072773,0.00003954275],"domain_scores_gemma":[0.9992614,0.0003293513,0.0001350525,0.00009327178,0.0001064466,0.00007437218],"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":[0.000372413,0.00008847108,0.02531702,0.0004187741,0.0002032776,0.001003556,0.00259919,0.1960185,0.3537954,0.2319137,0.002996597,0.185273],"study_design_scores_gemma":[0.00003860196,0.0001849254,0.03807082,0.00007970026,0.00009854526,0.0007142879,0.000555202,0.6840056,0.02991566,0.2392931,0.006952709,0.00009081628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6583135,0.0007804252,0.3248654,0.0005738706,0.00003119909,0.00004343371,0.0003058262,0.0006723311,0.01441399],"genre_scores_gemma":[0.9797421,0.0002088402,0.01879035,0.00002546552,0.00001179517,0.00001771236,0.00006943045,0.00003145133,0.001102732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003035072,"threshold_uncertainty_score":0.008229613,"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."}}