{"id":"W4246833382","doi":"10.32920/ryerson.14653833","title":"Routing simulation of brain network topology.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Routing table; Computer science; Static routing; Equal-cost multi-path routing; Computer network; Routing (electronic design automation); Link-state routing protocol; Dynamic Source Routing; Policy-based routing; Metrics; Distributed computing; IP forwarding; Network packet; Routing protocol","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000239532,0.000293986,0.0002452568,0.0002647667,0.0002094852,0.0004406262,0.0006929979,0.0006488616,0.003188887],"category_scores_gemma":[0.002092796,0.0001588628,0.000325804,0.0002620803,0.0003108285,0.0005786984,0.0004318818,0.0005036619,0.000242967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005221867,"about_ca_system_score_gemma":0.0005237085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006676975,"about_ca_topic_score_gemma":0.004541279,"domain_scores_codex":[0.9999015,0.0000360716,0.000004163646,0.00001565593,0.00002673022,0.00001589072],"domain_scores_gemma":[0.9994306,0.0003735361,0.00003935425,0.00005273423,0.00007205496,0.000031697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005517011,0.00002499355,0.0008983379,0.00003628033,0.00001758969,0.00006846664,0.00004618541,0.9859498,0.002776429,0.006151091,0.0004651674,0.003510435],"study_design_scores_gemma":[0.000008224671,0.00001362268,0.0001559747,0.000001898815,0.00000342062,0.00001213595,0.000009016198,0.9972779,0.0005638352,0.00156491,0.0003870935,0.000001891607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6854549,0.0004379917,0.2799006,0.001182648,0.000194617,0.0002099957,0.001893705,0.001080639,0.02964493],"genre_scores_gemma":[0.9632238,0.0002312306,0.03159279,0.0001010851,0.00001290838,0.0001549543,0.0004446323,0.00006810375,0.004170603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006676975,"threshold_uncertainty_score":0.01327622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437535886319276,"score_gpt":0.3010132635342584,"score_spread":0.2566379046710656,"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."}}