{"id":"W4210707245","doi":"10.1061/ajrua6.0001227","title":"Proposed Empirical Approach to Measuring Traffic String Stability","year":2022,"lang":"en","type":"article","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"String (physics); Stability (learning theory); Traffic flow (computer networking); Measure (data warehouse); Computer science; Flow (mathematics); Mathematics; Simulation; Control theory (sociology); Geometry; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002029235,0.0004605804,0.0008430669,0.0008034983,0.0001158584,0.0001089111,0.0004028471,0.00009137396,0.000009045492],"category_scores_gemma":[0.0001924303,0.0004731358,0.0001903676,0.0007749636,0.00001368031,0.0002101185,0.0001388633,0.001108515,0.000001173743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006974633,"about_ca_system_score_gemma":0.00005106244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003885142,"about_ca_topic_score_gemma":0.00003072222,"domain_scores_codex":[0.9969895,0.00009681035,0.001147585,0.000354932,0.0006914932,0.00071966],"domain_scores_gemma":[0.9988689,0.000232576,0.0001476057,0.0003248429,0.00007621783,0.0003497958],"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":[0.00003945629,0.00009049456,0.0006439884,0.0005513827,0.0001550065,0.00003710392,0.001602883,0.9943897,0.0004588737,0.0001748458,0.0001500781,0.001706209],"study_design_scores_gemma":[0.001415445,0.0001271069,0.004671931,0.0002649102,0.00007559262,0.0001648073,0.0009604849,0.9766575,0.0000242794,0.000002605482,0.01506639,0.0005689187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431947,0.003691225,0.04961183,0.00003185919,0.00217317,0.0006774821,0.00003215672,0.0004196821,0.0001678571],"genre_scores_gemma":[0.9985968,0.000145532,0.0007433331,0.000005855275,0.000304534,0.0001013229,0.000003873873,0.00008988314,0.000008871462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05540206,"threshold_uncertainty_score":0.999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526327753970681,"score_gpt":0.1965942309377369,"score_spread":0.1813309533980301,"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."}}