{"id":"W4381734225","doi":"10.1109/noms56928.2023.10154284","title":"Traffic Flow based Feature Engineering for Urban Management System","year":2023,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Feature engineering; Dependency (UML); Feature extraction; Feature (linguistics); Data mining; Convolutional neural network; Artificial intelligence; Traffic flow (computer networking); Graph; Deep learning; Machine learning; Pattern recognition (psychology)","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":[0.0002847766,0.0007310528,0.0004656512,0.0009101272,0.00034504,0.0006379903,0.0006096064,0.0003819069,0.002340279],"category_scores_gemma":[0.001019655,0.000174195,0.0005137573,0.0007929327,0.0001829663,0.001147516,0.0004560417,0.0005253184,0.0004812231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009798809,"about_ca_system_score_gemma":0.0007991494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126158,"about_ca_topic_score_gemma":0.009261675,"domain_scores_codex":[0.9998029,0.00002554341,0.00001181285,0.00006105118,0.00006116336,0.00003754133],"domain_scores_gemma":[0.9997919,0.0000395942,0.00003753799,0.00002809782,0.00009156555,0.00001130488],"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":[0.00007864716,0.0001053116,0.004055721,0.00006744295,0.00003551477,0.00008091897,0.00003282055,0.777189,0.006088041,0.005763767,0.005449094,0.2010538],"study_design_scores_gemma":[0.000001182587,0.00001250924,0.0005135566,0.00000212662,0.000004493347,0.000007931801,0.000003328705,0.9966748,0.0006905235,0.00143801,0.0006479572,0.000003539268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04718233,0.0002771795,0.9434213,0.0003755676,0.00009287947,0.0001133954,0.0009560146,0.003205889,0.004375349],"genre_scores_gemma":[0.9391784,0.0002139264,0.05657141,0.00006675324,0.00005050061,0.0001349219,0.001103239,0.00008344545,0.002597394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01126158,"threshold_uncertainty_score":0.02239209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005761164593998595,"score_gpt":0.1805926340927679,"score_spread":0.1748314694987693,"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."}}