{"id":"W4389574642","doi":"10.1155/2023/6866060","title":"Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottleneck; Traffic congestion; Transport engineering; GRASP; Computer science; Traffic volume; Travel time; Volume (thermodynamics); Simulation; Engineering","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":[0.0001951433,0.0003753811,0.0002379965,0.0016385,0.0002147493,0.0003365765,0.0003391042,0.0002258742,0.0004586862],"category_scores_gemma":[0.0008444114,0.0001403062,0.0003039183,0.001687661,0.0002369728,0.0004617306,0.0001930276,0.0003039745,0.00009321435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004902752,"about_ca_system_score_gemma":0.0002442165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391833,"about_ca_topic_score_gemma":0.02062524,"domain_scores_codex":[0.9997501,0.00005160095,0.00001165218,0.00006112549,0.00008682226,0.00003875322],"domain_scores_gemma":[0.9994105,0.0002695617,0.00008474964,0.00005743149,0.0001369179,0.00004095919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004591674,0.0004644131,0.6061878,0.0002012957,0.0001962281,0.0009035728,0.001138443,0.2456818,0.02447939,0.001802569,0.0015537,0.1169316],"study_design_scores_gemma":[0.000008038568,0.0001518063,0.5369542,0.000008522609,0.00004715391,0.0001203371,0.0006495113,0.4545261,0.006464573,0.0004453406,0.0005778518,0.00004660228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996891,0.00001216062,0.002481693,0.000007515757,0.000002259154,0.000004563683,0.0002431343,0.00005265453,0.0003050049],"genre_scores_gemma":[0.9982305,0.00001581145,0.001189286,0.000001239026,0.000001436194,0.000004753591,0.0004613689,0.000006903512,0.00008878419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02391833,"threshold_uncertainty_score":0.04755825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385275868456592,"score_gpt":0.2378837188745302,"score_spread":0.2240309601899643,"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."}}