{"id":"W2906614627","doi":"10.1155/2018/3839814","title":"On the Effects of Various Measures of Performance Selections on Simulation Model Calibration Performance","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Headway; Calibration; Intersection (aeronautics); Queue; Simulation; Traffic simulation; Computer science; Consistency (knowledge bases); Queueing theory; Statistics; Mathematics; Transport engineering; 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":[0.01738083,0.001969461,0.0006105606,0.001202299,0.0006550808,0.001641594,0.0006628082,0.0009118862,0.000815152],"category_scores_gemma":[0.08818533,0.0005624502,0.0006891454,0.0009232272,0.000783606,0.002506736,0.00133216,0.0008396327,0.0001958152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234418,"about_ca_system_score_gemma":0.0007281674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002885627,"about_ca_topic_score_gemma":0.001787673,"domain_scores_codex":[0.9876164,0.007059224,0.001001079,0.001373424,0.002319736,0.0006302166],"domain_scores_gemma":[0.8839238,0.08836546,0.01409681,0.00568584,0.007080125,0.0008479082],"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":[0.004105423,0.0005735632,0.2910487,0.0005015009,0.001088743,0.0004112839,0.0004280803,0.5686874,0.03061214,0.001025183,0.001064677,0.1004533],"study_design_scores_gemma":[0.0002181415,0.005831444,0.2490518,0.000253213,0.0009802496,0.0005174938,0.0007213415,0.6396145,0.09851301,0.00118575,0.002824669,0.0002883459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944825,0.0009816368,0.0501792,0.0002081073,0.00007759327,0.0001262896,0.0002828614,0.000749647,0.002569708],"genre_scores_gemma":[0.9928172,0.0001019354,0.006583495,0.00004230225,0.00001518234,0.0000402836,0.0001903461,0.00007457003,0.0001348464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738083,"threshold_uncertainty_score":0.09191972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007341137417954558,"score_gpt":0.2035330893106239,"score_spread":0.1961919518926694,"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."}}