{"id":"W1528473409","doi":"","title":"Calibration of microscopic traffic model for simulating safety performance","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; Computer science; Traffic simulation; Measure (data warehouse); Function (biology); Simulation; Data mining; Reliability engineering; Engineering; Statistics; Microsimulation; Mathematics; Transport 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002566099,0.0006616861,0.0005586657,0.001042535,0.0003380332,0.0007005429,0.00123581,0.0007659504,0.001032173],"category_scores_gemma":[0.009371199,0.0003503234,0.0006089816,0.0008304315,0.0003649058,0.000922326,0.0009734251,0.0009032041,0.0001863929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278862,"about_ca_system_score_gemma":0.001423423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007689165,"about_ca_topic_score_gemma":0.004074232,"domain_scores_codex":[0.998787,0.0004316942,0.00005820107,0.0001896558,0.0004471273,0.00008631579],"domain_scores_gemma":[0.9972678,0.001072986,0.0003629126,0.000499846,0.0007127225,0.0000836843],"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":[0.00001516226,0.00002393849,0.00144522,0.00000909297,0.00001057177,0.0000109689,0.00001213519,0.9892601,0.001215637,0.001551668,0.00009332874,0.006352089],"study_design_scores_gemma":[0.000002107772,0.00001451018,0.0004112734,0.000001950901,0.000002016237,0.000004993435,0.000004238608,0.9983491,0.0005632173,0.0005687401,0.00007284099,0.000005065215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1440491,0.00003449224,0.8527459,0.00008351944,0.00002132863,0.00013937,0.0001707286,0.0004929253,0.002262743],"genre_scores_gemma":[0.881493,0.0000376827,0.1174771,0.00001972801,0.000005337423,0.0001856528,0.0002515408,0.00005233242,0.0004776675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007689165,"threshold_uncertainty_score":0.01528883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226653438919463,"score_gpt":0.3241136281340674,"score_spread":0.2918470937448727,"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."}}