{"id":"W4405962297","doi":"10.1109/smart63170.2024.10815521","title":"Comprehensive Review of AI, IoT, and ML in Enhancing Urban Mobility and Reducing Carbon Footprints","year":2024,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet of Things; Carbon fibers; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001417222,0.00007144075,0.00014307,0.00008292559,0.000005852971,0.000009894919,0.00002685736,0.00002693194,0.000006470395],"category_scores_gemma":[0.000009505435,0.00006799802,0.00001458726,0.0001119256,0.00002025385,0.0000335334,0.0000383448,0.0001046301,2.767494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002420167,"about_ca_system_score_gemma":0.000004340239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007304187,"about_ca_topic_score_gemma":0.00001767814,"domain_scores_codex":[0.9995378,0.00001248417,0.0001874848,0.0001351024,0.0000511321,0.00007601497],"domain_scores_gemma":[0.9998326,0.00002573346,0.000006890382,0.00009917693,0.0000112688,0.00002438598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001722881,0.0001117856,0.005037708,0.2817359,0.0003069991,0.00005625436,0.002984257,0.0009499614,0.08953203,0.0137347,0.03529314,0.5702401],"study_design_scores_gemma":[0.0009688954,0.0002527165,0.07340149,0.08054708,0.0002281005,0.00005143858,0.0007533843,0.6271464,0.1046136,0.0009495717,0.1097823,0.00130504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113223,0.1505148,0.008815818,0.0003247032,0.0003338465,0.0008691735,0.000003272155,0.003926514,0.02388961],"genre_scores_gemma":[0.98365,0.01575704,0.0004699298,0.00006749454,0.00001036336,0.00001345074,7.01334e-7,0.000008393521,0.00002260312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6261964,"threshold_uncertainty_score":0.2772879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007489938720526554,"score_gpt":0.2391339553305208,"score_spread":0.2316440166099943,"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."}}