{"id":"W4399145395","doi":"10.1051/e3sconf/202452903012","title":"Capacity of heterogeneous traffic in urban areas: A level of service estimation","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Estimation; Transport engineering; Service (business); Computer science; Geography; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002721907,0.00005254356,0.0001436878,0.0001295881,0.00002523303,0.00001378342,0.0001026375,0.00006100018,0.00009655837],"category_scores_gemma":[0.00004900092,0.00005055727,0.00003136138,0.0003746432,0.0001115555,0.0001161344,0.000002210526,0.00004486024,0.000001419082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001000915,"about_ca_system_score_gemma":0.0006578834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003101081,"about_ca_topic_score_gemma":0.01525823,"domain_scores_codex":[0.9992888,0.00006383203,0.0002753811,0.0000971209,0.0001970001,0.00007788373],"domain_scores_gemma":[0.999563,0.0001157321,0.0001037758,0.00005187777,0.0001417558,0.00002380158],"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":[0.0001051742,0.0003233446,0.09539181,0.001362868,0.0001166145,0.000007686694,0.2262436,0.4836749,0.001735433,0.1594607,0.0002594972,0.0313184],"study_design_scores_gemma":[0.001203321,0.0003753312,0.2260133,0.003252177,0.0001690826,0.000002500161,0.01868245,0.7259812,0.01429591,0.006510658,0.002868769,0.0006453234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951383,0.000163005,0.001102238,0.0003001877,0.0001109283,0.00009195798,0.00006329985,0.00002795885,0.00300211],"genre_scores_gemma":[0.9991273,0.00003180561,0.0007443143,0.000008429005,0.00001170492,0.000003370935,0.00002064791,0.00000272304,0.00004972981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2423063,"threshold_uncertainty_score":0.8514452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08027793684466468,"score_gpt":0.3061206857652642,"score_spread":0.2258427489205996,"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."}}