{"id":"W3089504086","doi":"10.1145/3403952","title":"Traffic Efficiency Applications over Downtown Roads","year":2020,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Downtown; Transport engineering; Intersection (aeronautics); Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008147685,0.0004717118,0.0009877677,0.0002417303,0.0001131788,0.00009926235,0.001060134,0.0002498049,0.00003477527],"category_scores_gemma":[0.00006232559,0.0004633031,0.0003484523,0.0008501655,0.00003892083,0.00005246064,0.0002990089,0.0005529043,0.0002474668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131685,"about_ca_system_score_gemma":0.00004624351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007191298,"about_ca_topic_score_gemma":0.000004742087,"domain_scores_codex":[0.9980234,0.0002704804,0.000638107,0.000476739,0.0002315457,0.0003597356],"domain_scores_gemma":[0.9986396,0.0002602733,0.0001279314,0.0008222841,0.00002473937,0.0001251047],"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":[7.348017e-8,0.00002003098,8.225948e-7,0.002848972,0.00009085489,0.000003925076,0.00002357271,0.001242185,7.15851e-8,0.0001002124,0.01903118,0.9766381],"study_design_scores_gemma":[0.0000672452,0.0000136342,0.00003685293,0.0009047727,0.0001546322,0.000006931707,0.000001947439,0.02972027,2.032924e-7,0.000003605351,0.9686809,0.0004090582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001574588,0.6736696,0.3112593,0.000008505354,0.0003881334,0.0007770721,0.00002837827,0.01113835,0.002729048],"genre_scores_gemma":[0.00358097,0.9936386,0.001804179,0.00002508267,0.0004327403,0.0001220703,0.0002324328,0.0001190732,0.00004490056],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.976229,"threshold_uncertainty_score":0.9997818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907039313270182,"score_gpt":0.2952296063113832,"score_spread":0.2661592131786814,"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."}}