{"id":"W3194210039","doi":"10.1155/2021/4060740","title":"Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; U.S. Department of Transportation","keywords":"Traffic flow (computer networking); Particle swarm optimization; Computer science; Flow (mathematics); Inertia; Simulation; Engineering; Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001311206,0.0001074251,0.0001525456,0.0002129587,0.00001739285,0.000009663928,0.00005354423,0.00005587097,0.00004680315],"category_scores_gemma":[0.000007044979,0.0001127475,0.00007319743,0.0001891686,0.00001076928,0.0002334791,5.807217e-7,0.000198413,0.000003559247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126502,"about_ca_system_score_gemma":0.00001815204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.526176e-7,"about_ca_topic_score_gemma":0.00001066722,"domain_scores_codex":[0.9990621,0.00001892129,0.0004475328,0.0001018129,0.0002561501,0.0001134653],"domain_scores_gemma":[0.999711,0.00002171555,0.00008779296,0.00009285995,0.0000354331,0.00005124314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004908719,0.00009960424,0.0001549275,0.00003579834,0.00001554163,0.00007527784,0.0001840091,0.9703083,0.007208341,0.00006095996,0.000670575,0.02113757],"study_design_scores_gemma":[0.00967056,0.0009749836,0.5538961,0.0008118309,0.0001830585,0.00002264624,0.0009817302,0.3242769,0.04664354,0.0001942984,0.06170869,0.0006356168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475358,0.0002318461,0.1489092,0.0003308992,0.001034451,0.0002496745,0.00003162168,0.0007348447,0.0009416309],"genre_scores_gemma":[0.9942316,0.0003497051,0.005188508,0.00006123041,0.00005924339,0.00000471717,0.00006074648,0.0000188602,0.00002533447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460314,"threshold_uncertainty_score":0.459771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005290488045394251,"score_gpt":0.1940003674690158,"score_spread":0.1887098794236216,"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."}}