{"id":"W4296748123","doi":"10.1061/jtepbs.0000760","title":"Leveraging Location-Based Data for Assessing Network-Level Traffic Impact of Lane Management: A Case Study of Alex Fraser Bridge","year":2022,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Traffic flow (computer networking); Bridge (graph theory); Computer science; Travel time; Traffic volume; Geography; Environmental science; Engineering; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162658,0.0001103692,0.000310227,0.0002473649,0.0002224216,0.00003554202,0.0002394645,0.00003299052,0.00001305905],"category_scores_gemma":[0.00002309636,0.0001166371,0.00009588111,0.0005755636,0.00001459918,0.0003222037,0.000002203652,0.0001213139,5.063497e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008418322,"about_ca_system_score_gemma":0.0002205524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009322636,"about_ca_topic_score_gemma":0.0002435364,"domain_scores_codex":[0.9981657,0.0001057882,0.0008939375,0.0001423605,0.000524275,0.000167977],"domain_scores_gemma":[0.9984751,0.0001920218,0.0007839528,0.0001798342,0.0003002954,0.00006873244],"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":[0.00004946531,0.0001956285,0.02235675,0.0002338295,0.0001945126,0.0001106738,0.008164885,0.9681628,0.000005147158,0.00003688838,0.0002905841,0.0001988828],"study_design_scores_gemma":[0.005269209,0.0006174134,0.1863346,0.0007102586,0.0008357222,0.00004793966,0.05589615,0.7472612,0.000003553808,0.00000213085,0.002609276,0.0004124867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898492,0.0001566105,0.2088052,0.00001341328,0.0004935225,0.0004413606,0.0002122329,0.00002231495,0.000006155601],"genre_scores_gemma":[0.9972324,0.000005604499,0.002259671,0.000002894199,0.0001234611,0.0000240745,0.0003162342,0.00001972169,0.00001591225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209015,"threshold_uncertainty_score":0.4756324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07846663192896224,"score_gpt":0.3326901514365466,"score_spread":0.2542235195075844,"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."}}