{"id":"W1677231726","doi":"10.5555/1929237.1929260","title":"Braess's paradox for flows over time","year":2010,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transpose; Conjecture; Network topology; Context (archaeology); Flow (mathematics); Computer science; Mathematics; Flow network; Topology (electrical circuits); Mathematical economics; Mathematical optimization; Discrete mathematics; Combinatorics; Physics; Geography; Geometry; Computer network; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001686343,0.00005731635,0.00006704096,0.00005281554,0.0003289139,0.00002690815,0.0001483566,0.00009349017,0.0004780967],"category_scores_gemma":[0.00004357556,0.00006771094,0.00005442011,0.0002354493,0.00007690704,0.00024549,0.000004309807,0.00007822622,0.00008568467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001678528,"about_ca_system_score_gemma":0.00006695846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002172202,"about_ca_topic_score_gemma":0.001225917,"domain_scores_codex":[0.9995263,0.00002450273,0.00005897783,0.0001862676,0.00004332183,0.0001606197],"domain_scores_gemma":[0.9996029,0.00009193707,0.00004381181,0.0001062541,0.0000684433,0.00008661589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001596816,0.0001315917,0.08578297,0.00001421521,0.00004525581,0.00003028245,0.004525037,0.08515535,0.0008827237,0.8162494,0.005980056,0.001043448],"study_design_scores_gemma":[0.003999762,0.0001426647,0.09689302,0.00003585001,0.0002415615,0.00000109289,0.001745851,0.4116431,0.0002636635,0.03592507,0.4479141,0.001194275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562627,0.000002857705,0.03076188,0.000144965,0.000310391,0.000175369,0.00001966966,0.000146217,0.01217597],"genre_scores_gemma":[0.9885325,0.000008786038,0.0007526405,0.00006546013,0.00009220097,4.258289e-7,0.00002614583,0.000006438601,0.0105154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7803243,"threshold_uncertainty_score":0.5234823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596065590270301,"score_gpt":0.2027938891569328,"score_spread":0.1668332332542298,"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."}}