{"id":"W4401508409","doi":"10.1109/dcoss-iot61029.2024.00020","title":"Traffic Data Augmentation Using GANs for ITS","year":2024,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":[0.0008600156,0.001015989,0.000611082,0.0005390404,0.0002568139,0.0006361718,0.001181424,0.000664058,0.001794707],"category_scores_gemma":[0.002784458,0.0003620421,0.0006997668,0.0006675053,0.0005995461,0.001150319,0.0009721271,0.001889251,0.0005018417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006239708,"about_ca_system_score_gemma":0.0005957967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004372883,"about_ca_topic_score_gemma":0.00555331,"domain_scores_codex":[0.9996601,0.0001106978,0.00001238894,0.00009362982,0.00007454106,0.00004849147],"domain_scores_gemma":[0.9990651,0.0004821901,0.00006482899,0.0001453462,0.0002018091,0.00004088035],"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":[0.00007201156,0.00005380886,0.001218202,0.00004425002,0.00003119,0.0000509282,0.0000385624,0.947154,0.002581178,0.004770521,0.002759985,0.04122527],"study_design_scores_gemma":[0.000001375198,0.000009752326,0.0001057569,0.000003207798,0.000003412131,0.000008681827,0.000004211161,0.9971653,0.0005301273,0.001758239,0.0004070721,0.000002853099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05839334,0.000564171,0.9312255,0.0007546736,0.0003343502,0.00007964866,0.0007219185,0.002005975,0.005920443],"genre_scores_gemma":[0.9161721,0.0003920347,0.07806778,0.0003004574,0.0001622201,0.00011126,0.001770457,0.0001867145,0.002836949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004372883,"threshold_uncertainty_score":0.008694887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09502142857615753,"score_gpt":0.3265814965664089,"score_spread":0.2315600679902514,"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."}}