{"id":"W4318755440","doi":"10.1007/s00429-023-02613-2","title":"Comparing models of information transfer in the structural brain network and their relationship to functional connectivity: diffusion versus shortest path routing","year":2023,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; NIH Blueprint for Neuroscience Research; McDonnell Center for Systems Neuroscience; National Institutes of Health","keywords":"Shortest path problem; Computer science; Routing (electronic design automation); Graph theory; Metrics; Connectome; Average path length; Human Connectome Project; Variance (accounting); Artificial intelligence; Functional connectivity; Theoretical computer science; Graph; Mathematics; Routing protocol; Psychology; Neuroscience; Link-state routing protocol; 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":[0.0006217922,0.0002104723,0.0002356767,0.0002208052,0.0005642108,0.00008813414,0.00008585277,0.0001032179,0.0000067547],"category_scores_gemma":[0.002546106,0.0001533946,0.00004554543,0.0009781774,0.000104795,0.0007500974,0.00009010679,0.0002994283,0.000001711605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003989772,"about_ca_system_score_gemma":0.00002746664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005431005,"about_ca_topic_score_gemma":0.0002959512,"domain_scores_codex":[0.9984981,0.0002570131,0.0003129524,0.0003534059,0.0003054854,0.0002729791],"domain_scores_gemma":[0.9911023,0.008561132,0.0000714257,0.000166715,0.00004899084,0.00004945643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.004452006,0.00004208361,0.2303911,0.0001346203,0.00008617308,0.000004963521,0.02726582,0.3568552,0.03537365,0.3076146,0.008129098,0.02965066],"study_design_scores_gemma":[0.001318077,0.0002568581,0.8676408,0.00004043706,0.00001618694,0.00002345951,0.001974766,0.09724872,0.0002559882,0.03048456,0.0005229576,0.0002172005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831733,0.00002764716,0.01105468,0.004193882,0.0006657862,0.0004572455,0.00003994188,0.00007965774,0.0003079183],"genre_scores_gemma":[0.9976617,0.00000461883,0.00002619205,0.002031834,0.000179324,0.00002561995,0.00004708761,0.00001147316,0.00001216518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372496,"threshold_uncertainty_score":0.6255249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012260869628768,"score_gpt":0.2481203181061974,"score_spread":0.1879977094099097,"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."}}