{"id":"W2048136858","doi":"10.1139/l08-020","title":"Evaluating new methodologies for estimating performance on two-lane highways","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Montana State University; University of Montana","keywords":"Headway; Highway Capacity Manual; Transport engineering; Estimation; Sensitivity (control systems); Current (fluid); Statistics; Computer science; Engineering; Mathematics; Level of service","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004540806,0.0001622029,0.0002562946,0.0003046049,0.00009278674,0.00002824133,0.0001894218,0.00003860535,0.00002583131],"category_scores_gemma":[0.0003416057,0.0001608652,0.00009036206,0.0001149379,0.00001175668,0.0001383951,0.000005581186,0.0002061539,0.000003795407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699116,"about_ca_system_score_gemma":0.0001983128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085889,"about_ca_topic_score_gemma":0.003135653,"domain_scores_codex":[0.9990656,0.000009608561,0.0003305715,0.00008739758,0.0001297017,0.0003770657],"domain_scores_gemma":[0.9992222,0.0002139754,0.00006283761,0.0001176381,0.00005824421,0.0003251543],"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":[0.000005316305,0.000001014996,0.00002321978,0.00007201519,0.00005419776,0.00002677839,0.0002390154,0.9660686,0.0005094248,0.0001593879,0.00352134,0.02931968],"study_design_scores_gemma":[0.0009233491,0.0002015107,0.001489106,0.0002080722,0.00003740262,0.0001214089,0.00002213,0.9906536,0.0002545706,0.00004720156,0.00582636,0.0002152876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1250763,0.001366043,0.8675751,0.000169486,0.003298573,0.0002569559,0.000006594391,0.0002876286,0.00196329],"genre_scores_gemma":[0.8571266,0.00001886764,0.1421559,0.00002666486,0.0005708056,0.000006020045,0.000001165888,0.00003426476,0.00005978185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7320502,"threshold_uncertainty_score":0.6559892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07383181833057996,"score_gpt":0.2746715930370787,"score_spread":0.2008397747064987,"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."}}