{"id":"W4408514302","doi":"10.1016/j.etran.2025.100417","title":"A survey of machine learning applications in advanced transportation systems: Trends, techniques, and future directions","year":2025,"lang":"en","type":"article","venue":"eTransportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003181393,0.0009841574,0.001059563,0.004219331,0.0004005635,0.002031633,0.001131034,0.001099522,0.003155972],"category_scores_gemma":[0.0064861,0.000419799,0.001102356,0.007744676,0.0005470091,0.003298494,0.0007459113,0.001653354,0.00121524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009037296,"about_ca_system_score_gemma":0.001786225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002577717,"about_ca_topic_score_gemma":0.002539926,"domain_scores_codex":[0.9985968,0.0004262624,0.0001965226,0.000239067,0.0004676708,0.00007361125],"domain_scores_gemma":[0.9925625,0.005623686,0.0002940775,0.0001816338,0.001238956,0.00009925869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005323237,0.00008707753,0.003620747,0.009111173,0.0001290303,0.0001166997,0.0001652454,0.005207361,0.0008423597,0.007956988,0.01324613,0.959464],"study_design_scores_gemma":[0.00003570748,0.0005429796,0.01271188,0.01463787,0.0006059707,0.001217305,0.001014147,0.05110272,0.004730224,0.03217035,0.8810279,0.000202841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005038884,0.9524753,0.03009627,0.003892914,0.0006714457,0.00006750241,0.0002602101,0.0002097457,0.007287658],"genre_scores_gemma":[0.03293651,0.9404223,0.02231311,0.0009315499,0.001231359,0.00007415706,0.0004684181,0.00004790278,0.001574721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004219331,"threshold_uncertainty_score":0.01682502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004587560993007536,"score_gpt":0.2260662866099648,"score_spread":0.2214787256169573,"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."}}