{"id":"W4220954319","doi":"10.1155/2022/6697830","title":"Advanced Transition Preemption Strategy for Signalized Intersections near Highway-Rail Grade Crossings with Dual Tracks","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Transportation","keywords":"VisSim; Preemption; Intersection (aeronautics); Platoon; Pedestrian; Transport engineering; Testbed; Signal timing; Dual (grammatical number); Level crossing; Traffic simulation; Engineering; Computer science; Simulation; Real-time computing; Traffic signal; Control (management)","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":[0.0005356097,0.0004939937,0.0004884206,0.0004228705,0.0003876635,0.0006048754,0.001076069,0.0002953424,0.001502154],"category_scores_gemma":[0.001111339,0.000178632,0.000306851,0.000318468,0.0002733305,0.0005229065,0.000512015,0.000577502,0.0002612147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006229405,"about_ca_system_score_gemma":0.001513201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888636,"about_ca_topic_score_gemma":0.003255479,"domain_scores_codex":[0.9996185,0.00008033231,0.0000264618,0.00008513395,0.0001118091,0.00007775938],"domain_scores_gemma":[0.9993868,0.0001743136,0.0001001976,0.00005919606,0.0001810494,0.00009844002],"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":[0.0009258324,0.0003415673,0.003944701,0.0002338079,0.00006775482,0.000395397,0.000279595,0.6042838,0.04854535,0.01952133,0.004278467,0.3171824],"study_design_scores_gemma":[0.00004450731,0.0001912795,0.0004981836,0.000006940742,0.00001275453,0.00008465955,0.00004191999,0.989967,0.00562648,0.001866493,0.001651219,0.000008653195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09726698,0.0002655732,0.8968123,0.0001002912,0.00006661123,0.0001308306,0.0000559141,0.0007793422,0.004522108],"genre_scores_gemma":[0.8993763,0.00009375706,0.09852955,0.0000541693,0.00001549306,0.00006358814,0.00008682662,0.00003004848,0.001750119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003888636,"threshold_uncertainty_score":0.007732034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008645798356803503,"score_gpt":0.2262320277730001,"score_spread":0.2175862294161965,"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."}}