{"id":"W2917971641","doi":"10.1109/glocom.2018.8647925","title":"Toward a Smooth Vehicular Traffic at Round Road - Intersections<sup>§</sup>","year":2018,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Roundabout; Transport engineering; Computer science; Throughput; Protocol (science); Traffic speed; Work (physics); Engineering; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007821769,0.0001640108,0.0001492093,0.00009456676,0.00007812844,0.00005281177,0.0001397375,0.00005930277,0.0008753166],"category_scores_gemma":[0.00000594833,0.0001472558,0.00009620694,0.0001183399,0.00004058204,0.0001066816,0.0000560511,0.00008749816,0.0008215967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468151,"about_ca_system_score_gemma":0.000005601249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005965211,"about_ca_topic_score_gemma":0.0003506747,"domain_scores_codex":[0.9991912,0.0000118453,0.0001764402,0.0002022614,0.000130755,0.0002875568],"domain_scores_gemma":[0.9996263,0.00001114202,0.00001115945,0.0002418358,0.00002573297,0.00008386493],"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":[0.00005209517,0.0001410528,0.0000312418,0.0001059802,0.0004621622,0.00004027231,0.003978459,0.6412588,0.0006507736,0.001411363,0.08553676,0.2663311],"study_design_scores_gemma":[0.0009813411,0.0001213273,0.001614554,0.0000173824,0.00005339305,0.00001211348,0.0005061059,0.6093271,0.0001160494,0.00002398766,0.3869306,0.0002960151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462949,0.000211402,0.008469111,0.0002886362,0.0005865737,0.0002493839,0.000002835754,0.001399729,0.04249741],"genre_scores_gemma":[0.9948365,0.00002203696,0.0002476931,0.0001410605,0.0002973649,0.00003403961,0.00000540958,0.0000287551,0.004387142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3013939,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139610723783513,"score_gpt":0.2001369332338258,"score_spread":0.1887408259959906,"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."}}