{"id":"W4408317862","doi":"10.1155/atr/7966144","title":"Influence of Vehicular Flow Instability in a Transport Network on Risk Reduction: Test in a Two‐Link Network","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Link (geometry); Reduction (mathematics); Flow network; Flow (mathematics); Test (biology); Instability; Computer network; Computer science; Engineering; Mechanics; Mathematics; Geology; Physics; Mathematical optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270756,0.000718308,0.0004073428,0.0009022059,0.0004312118,0.0006840889,0.0007965223,0.000857051,0.0007486848],"category_scores_gemma":[0.007763081,0.0002552195,0.0008404655,0.0005267158,0.0008019086,0.001029854,0.001124732,0.0008042269,0.00004592514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010848,"about_ca_system_score_gemma":0.0006440899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009154268,"about_ca_topic_score_gemma":0.002782275,"domain_scores_codex":[0.9985821,0.000947467,0.00003460102,0.0001113563,0.0001610778,0.0001633376],"domain_scores_gemma":[0.9892082,0.009265131,0.0005824636,0.0003408667,0.0004359505,0.000167477],"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":[0.000273159,0.0002025461,0.005133855,0.00002709566,0.00003326789,0.0000982377,0.00006724775,0.9883264,0.001537719,0.001068378,0.00003126416,0.003200908],"study_design_scores_gemma":[0.00001717984,0.000614731,0.001873044,0.000004925149,0.0000297421,0.00002350206,0.00005220972,0.9947032,0.002231543,0.0003995061,0.00004080867,0.000009522325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98752,0.00003079132,0.01164616,0.00003807493,0.000004430136,0.00003836254,0.00002629415,0.00002675276,0.0006691066],"genre_scores_gemma":[0.9978961,0.00002280066,0.001878065,0.000002836066,0.000001596381,0.00002156052,0.00001568802,0.000002593647,0.0001588424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009154268,"threshold_uncertainty_score":0.01820195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002948395421843316,"score_gpt":0.2105499709206807,"score_spread":0.2076015754988374,"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."}}