{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01051695,0.0006582541,0.002380581,0.00229305,0.003570735,0.00702561,0.00249366,0.006263886,0.01455785],"category_scores_gemma":[0.06422207,0.0008243989,0.001633866,0.003294745,0.009592263,0.02407431,0.004391999,0.009479487,0.001015299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342842,"about_ca_system_score_gemma":0.002747267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004630395,"about_ca_topic_score_gemma":0.00269533,"domain_scores_codex":[0.9966457,0.001479041,0.0002214269,0.0005619088,0.0007237462,0.0003679971],"domain_scores_gemma":[0.9655263,0.02618936,0.00167333,0.003345513,0.001711929,0.001553604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001698075,0.000006470953,0.00008268709,0.00002124042,0.000006710085,0.00002467028,0.0000812618,0.001153364,0.00002661002,0.9943814,0.00235114,0.00184744],"study_design_scores_gemma":[0.000006520746,0.000001378912,0.00002684615,0.00000554955,0.000002168732,0.00001472763,0.00001665533,0.00215897,0.00000785454,0.9969002,0.0008559067,0.000003267858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641126,0.01092731,0.4601187,0.1485134,0.002421162,0.0001126158,0.002413224,0.0005788889,0.2108021],"genre_scores_gemma":[0.9326855,0.0039712,0.03259421,0.004821531,0.001478506,0.0001766647,0.0003410596,0.0002262233,0.02370502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01455785,"threshold_uncertainty_score":0.05561966,"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."}}