{"id":"W7001894100","doi":"","title":"Machine Learning-Driven Strategies for Efficient Traffic Congestion Management","year":2024,"lang":"en","type":"other","venue":"Spectrum Research Repository (Concordia University)","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Traffic congestion; Cuckoo search; Artificial neural network; Metaheuristic; Decision tree; Autoregressive integrated moving average; Convergence (economics); Tree (set theory); Ant colony optimization algorithms","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001075508,0.001005996,0.0008986626,0.0007216402,0.000378194,0.0009952827,0.00126528,0.0009077486,0.001802389],"category_scores_gemma":[0.002321535,0.0003736521,0.0004371787,0.0006267587,0.0005427711,0.000872486,0.0007501527,0.0008455862,0.000259376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009986255,"about_ca_system_score_gemma":0.001388312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005136272,"about_ca_topic_score_gemma":0.004667674,"domain_scores_codex":[0.9996074,0.0001288016,0.00001921409,0.00007631972,0.00009105772,0.00007731382],"domain_scores_gemma":[0.9989638,0.0005307933,0.0001707532,0.0000453959,0.0002287331,0.0000604106],"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":[0.0000238452,0.00005644743,0.0003375361,0.00003965184,0.00003267697,0.000031077,0.00002296375,0.9731354,0.000947757,0.005461476,0.0005788607,0.01933236],"study_design_scores_gemma":[0.000005520517,0.00002297534,0.00006797788,0.000004172183,0.000005242451,0.000005335774,0.000007843686,0.9973453,0.0001796202,0.002093867,0.0002593517,0.000002876003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05599086,0.0009029599,0.9321114,0.0005477883,0.0001054463,0.0001710032,0.00007349386,0.0005199727,0.009577005],"genre_scores_gemma":[0.9484257,0.000315958,0.04885598,0.0001546526,0.00004806634,0.0001651898,0.00008002386,0.00003921437,0.001915308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005136272,"threshold_uncertainty_score":0.01021278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846958563643867,"score_gpt":0.3074542513966304,"score_spread":0.2689846657601918,"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."}}