{"id":"W4200235093","doi":"10.1155/2021/8638523","title":"Lane Change Control Combined with Ramp Metering: A Strategy to Manage Delays at On-Ramp Merging Sections","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Metering mode; Merge (version control); Control (management); Travel time; Computer science; Traffic flow (computer networking); Transport engineering; Engineering; Computer network","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":[0.00008473214,0.0001433864,0.0002482726,0.0001439705,0.00006126785,0.00002192287,0.00006221865,0.00002954393,0.00003008731],"category_scores_gemma":[0.000004624038,0.0001284232,0.00008179117,0.0002163773,0.000006178815,0.0002170311,0.000001444608,0.0001634935,0.000004431526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008745013,"about_ca_system_score_gemma":0.000008783396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004028748,"about_ca_topic_score_gemma":0.0007761576,"domain_scores_codex":[0.9991591,0.00001672687,0.0003137933,0.0001176723,0.0002121329,0.0001806027],"domain_scores_gemma":[0.9995552,0.00004027929,0.00008978185,0.0001060276,0.0001017763,0.0001069605],"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":[0.0004757622,0.00004759941,0.00003924841,0.00006166152,0.0002064858,0.0003072936,0.001101468,0.9719775,0.01147512,0.0002520687,0.00002391864,0.01403185],"study_design_scores_gemma":[0.06095931,0.0134954,0.7666363,0.002062997,0.002686019,0.0003694203,0.008409444,0.02445726,0.0214643,0.0006588578,0.09586081,0.002939923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495496,0.000223688,0.04870088,0.0003939766,0.0004369938,0.0002816603,0.00002075884,0.00009510451,0.0002974038],"genre_scores_gemma":[0.9970726,0.0001051899,0.002433749,0.0001398058,0.00009066953,0.00003136061,0.00002208224,0.00002735229,0.00007714653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9475203,"threshold_uncertainty_score":0.5236946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091223018451459,"score_gpt":0.2141047904437383,"score_spread":0.2031925602592237,"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."}}