{"id":"W2074927091","doi":"10.1002/atr.107","title":"Testbed for evaluation of vehicular detection systems","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Testbed; Computer science; Context (archaeology); Real-time computing; Embedded system; Intelligent transportation system; Systems engineering; Engineering; Computer network; Transport 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536186,0.00005441597,0.0001052404,0.0001302227,0.00001524459,0.000005498113,0.00004338612,0.00004737927,0.000001752606],"category_scores_gemma":[0.00002600171,0.00005291911,0.00006219797,0.00008348332,0.000008055031,0.0002517112,2.239584e-7,0.00009599935,1.539053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002382488,"about_ca_system_score_gemma":0.00001174959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.596417e-7,"about_ca_topic_score_gemma":0.00002611205,"domain_scores_codex":[0.9993125,0.000008264336,0.0003476029,0.00004102649,0.0002397863,0.00005085822],"domain_scores_gemma":[0.9993359,0.00001876065,0.0001661764,0.00005643126,0.0003993089,0.00002335339],"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":[0.00002469735,0.00001738788,0.00004372239,0.00009559059,0.00003300261,3.317825e-7,0.0001138871,0.6251233,0.321005,0.0003048271,0.0000707558,0.05316744],"study_design_scores_gemma":[0.006087383,0.000595961,0.09447473,0.0002090994,0.0009130064,0.00001687934,0.000774062,0.5143815,0.3700294,0.001198763,0.01101345,0.0003058349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735756,0.0000998488,0.3247507,0.000007066555,0.001103292,0.0002670487,0.000004982653,0.0001441391,0.00004735076],"genre_scores_gemma":[0.9953162,0.00003805207,0.004517904,0.000001957228,0.00007835251,0.00002584399,0.000009240119,0.0000109481,0.000001470623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217407,"threshold_uncertainty_score":0.2157979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008240113614142444,"score_gpt":0.246536248591751,"score_spread":0.2382961349776086,"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."}}