{"id":"W4309651781","doi":"10.1145/3557915.3560965","title":"Evaluating and forecasting the operational performance of road intersections","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Intersection (aeronautics); Traverse; Transport engineering; Abstraction; Situation awareness; Trajectory; Floating car data; Traffic congestion; Engineering","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":[0.001042649,0.0007084112,0.0005561679,0.002385479,0.000366264,0.0009565568,0.0007892393,0.0006544493,0.0006749218],"category_scores_gemma":[0.004304234,0.0002225663,0.0002665551,0.001364058,0.0001880346,0.001332705,0.0005994947,0.0004250217,0.0003742413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007454423,"about_ca_system_score_gemma":0.0007247149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008661959,"about_ca_topic_score_gemma":0.0108089,"domain_scores_codex":[0.9993708,0.000117059,0.00006113535,0.0001733483,0.0002048128,0.00007293319],"domain_scores_gemma":[0.997601,0.0009686106,0.0005012142,0.0002141518,0.0005824078,0.0001326115],"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":[0.0006433033,0.0005672664,0.2426146,0.0002939903,0.0001582718,0.0002266125,0.0004860309,0.4690809,0.02141634,0.001732953,0.003420664,0.2593591],"study_design_scores_gemma":[0.000009983994,0.0001635028,0.02677596,0.00001640819,0.0000400515,0.00003513917,0.0001543111,0.9631398,0.008117309,0.000783906,0.0007411783,0.00002240788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8599291,0.00022591,0.1284633,0.0001789078,0.00004011417,0.0002362766,0.002039705,0.005755836,0.003130822],"genre_scores_gemma":[0.9578184,0.0001096434,0.04058964,0.00001061799,0.000008729367,0.0000620791,0.001057668,0.00004242881,0.0003007083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008661959,"threshold_uncertainty_score":0.01722306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727744782571037,"score_gpt":0.2662954354269746,"score_spread":0.2390179876012643,"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."}}