{"id":"W2117141522","doi":"10.1002/atr.196","title":"Effect of road width and traffic volume on vehicular interactions in heterogeneous traffic","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic flow (computer networking); Transport engineering; Traffic volume; Traffic wave; Computer science; Automotive engineering; Traffic congestion reconstruction with Kerner's three-phase theory; Engineering; Traffic congestion","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":[0.0003369311,0.000336239,0.0002954485,0.0006875242,0.0002604888,0.0005526019,0.0002804368,0.0002475065,0.0006724877],"category_scores_gemma":[0.001336256,0.0001595283,0.0003622786,0.0004983062,0.000218255,0.0003731234,0.0003338375,0.0002312528,0.0001028829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003010865,"about_ca_system_score_gemma":0.0001873274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007247385,"about_ca_topic_score_gemma":0.004158601,"domain_scores_codex":[0.9996437,0.000115596,0.00001497163,0.00006491846,0.00007791471,0.00008284349],"domain_scores_gemma":[0.9986914,0.0008437759,0.0001474929,0.0000738669,0.0001743,0.00006923011],"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":[0.000654297,0.0004152611,0.2288573,0.00008423992,0.000213169,0.0006758802,0.0002301017,0.7309476,0.01818849,0.000810537,0.0002791398,0.01864395],"study_design_scores_gemma":[0.00001303638,0.0005014685,0.2475543,0.00001352488,0.000147785,0.0001479077,0.0006518451,0.7377406,0.01225217,0.0004434496,0.0004914314,0.00004247251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987475,0.0000261691,0.0007951541,0.000004462822,0.000002097116,0.000003288198,0.00002434244,0.0000123499,0.0003845615],"genre_scores_gemma":[0.999796,0.00001140155,0.00009852758,8.976182e-7,8.318198e-7,0.000001785692,0.00003046667,0.000001344323,0.00005892695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007247385,"threshold_uncertainty_score":0.01441044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003895200051152149,"score_gpt":0.2201695953409205,"score_spread":0.2162743952897683,"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."}}