{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00257827,0.0007211909,0.0007075334,0.0006789601,0.0004804396,0.0007088201,0.001563083,0.0007204023,0.003164641],"category_scores_gemma":[0.003034853,0.0002015104,0.0002734118,0.0005217526,0.0005511611,0.0007616135,0.001053236,0.0006964672,0.0007485236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008945565,"about_ca_system_score_gemma":0.0009007173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300864,"about_ca_topic_score_gemma":0.0007488525,"domain_scores_codex":[0.9982705,0.0006316698,0.0001488744,0.0002261919,0.0004901738,0.0002326102],"domain_scores_gemma":[0.9975269,0.0007527886,0.0002380996,0.0004953315,0.0006619077,0.0003249467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002839936,0.003922475,0.01268933,0.001923145,0.0003121127,0.00168387,0.0005726388,0.384497,0.3963822,0.04152202,0.01991033,0.133745],"study_design_scores_gemma":[0.0007170892,0.006686301,0.00669672,0.0001619331,0.0001005072,0.0004883296,0.0002704952,0.6509517,0.2854068,0.006049856,0.04235671,0.0001135154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4807604,0.0006276324,0.4901318,0.0004260873,0.0007858739,0.003892098,0.003164254,0.008779365,0.01143262],"genre_scores_gemma":[0.8627568,0.0002893661,0.1285182,0.00009403286,0.00004196427,0.002050091,0.002592035,0.0001405511,0.003516863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003164641,"threshold_uncertainty_score":0.0136354,"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."}}