{"id":"W4237670884","doi":"10.1002/spe.809","title":"Developing a software toolkit for urban traffic modeling","year":2007,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Traffic control and management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Parsing; Truck; Graphics; Software; Focus (optics); DEVS; Set (abstract data type); Traffic flow (computer networking); Section (typography); Software engineering; Simulation; Programming language; Computer graphics (images); Modeling and simulation; Operating system; 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":[0.0003250789,0.0001754078,0.0001574615,0.00007155575,0.000178265,0.00009184227,0.000133685,0.00006783152,0.000006009379],"category_scores_gemma":[0.000577533,0.0001791479,0.00004382342,0.0001389351,0.00002633965,0.00067128,0.00004103444,0.0001159422,0.000007072916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006519523,"about_ca_system_score_gemma":0.000024133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001023482,"about_ca_topic_score_gemma":0.00002449676,"domain_scores_codex":[0.9989077,0.000007793426,0.0002502494,0.0002647825,0.0001505846,0.0004189043],"domain_scores_gemma":[0.9992203,0.0004016166,0.00003513782,0.0001660993,0.0000774898,0.00009933062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000208737,0.0000565573,0.0001320406,0.0003267462,0.0001103212,0.00004643527,0.02416027,0.141702,0.0001322518,0.002332585,0.001015391,0.8297766],"study_design_scores_gemma":[0.002617665,0.0002257983,0.0004970064,0.0002581568,0.0001898555,0.000122122,0.03231194,0.2369875,0.000348853,0.0004918707,0.7241237,0.001825571],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1351748,0.001736883,0.8614084,0.0001611587,0.0003445885,0.0002932541,0.000002735203,0.0007454882,0.0001326974],"genre_scores_gemma":[0.8367007,0.0001982376,0.1623608,0.0004059492,0.000131603,0.0001087472,0.000005192489,0.00003099644,0.00005776667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8279511,"threshold_uncertainty_score":0.730544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093312014426578,"score_gpt":0.2699426571657598,"score_spread":0.249009537021494,"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."}}