{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002731515,0.0006041321,0.0004410573,0.001568138,0.0003784593,0.0009608169,0.001006938,0.000517149,0.003992416],"category_scores_gemma":[0.001042202,0.0002111005,0.0003479099,0.002115209,0.0001832788,0.001396255,0.0005990355,0.0006353232,0.001619222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484611,"about_ca_system_score_gemma":0.0006975676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606862,"about_ca_topic_score_gemma":0.005126878,"domain_scores_codex":[0.9997357,0.00003846928,0.00001520179,0.00004762201,0.0001131267,0.0000499132],"domain_scores_gemma":[0.9993963,0.0001779572,0.00004745902,0.00003423014,0.0003126294,0.00003148368],"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":[0.00003396858,0.00007702257,0.001315997,0.001492403,0.00002460592,0.0001456856,0.00008390883,0.01016232,0.00259963,0.01451889,0.01764134,0.9519042],"study_design_scores_gemma":[0.00001265684,0.0002674623,0.005074242,0.002121483,0.0001777478,0.001698507,0.0005863048,0.07562781,0.01140937,0.0167351,0.8862215,0.0000676932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04525191,0.6550444,0.1569457,0.002364198,0.002318335,0.0002963333,0.0005250602,0.001576633,0.1356773],"genre_scores_gemma":[0.300639,0.6216468,0.03833908,0.0006679659,0.001219601,0.000138174,0.001139773,0.000130116,0.03607944],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004606862,"threshold_uncertainty_score":0.01335591,"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."}}