{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356276,0.0001330895,0.0003368266,0.0001755548,0.00002022563,0.00000339017,0.0000972807,0.00004742944,0.000003255612],"category_scores_gemma":[0.0000220833,0.0001336986,0.00009954879,0.0007144819,0.00002304936,0.0002364712,8.485388e-7,0.0003630733,2.558561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000997213,"about_ca_system_score_gemma":0.00003999396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002439236,"about_ca_topic_score_gemma":0.002192709,"domain_scores_codex":[0.9985833,0.00002706004,0.0008947577,0.0001263541,0.0001778858,0.0001906752],"domain_scores_gemma":[0.9995007,0.00007490202,0.0001805257,0.0001283787,0.00008079699,0.00003469314],"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":[0.0002732956,0.00007987337,0.05131614,0.000106975,0.00003335569,0.00002689747,0.0004473097,0.9283753,0.0003049077,0.000142913,0.000009121856,0.0188839],"study_design_scores_gemma":[0.002296907,0.0001068863,0.9867947,0.0005938901,0.00006132775,9.470948e-7,0.0000802842,0.008053558,0.00006360363,0.001257228,0.0005904815,0.0001001871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950873,0.0005828646,0.003464606,0.0001079723,0.0003843363,0.0002569221,0.000006230962,0.00002659651,0.00008311629],"genre_scores_gemma":[0.9965008,0.0005792553,0.002771089,0.00001655269,0.00009853256,0.00001309474,0.000006549463,0.00001000685,0.000004146597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9354786,"threshold_uncertainty_score":0.5452072,"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."}}