{"id":"W4402230126","doi":"10.3390/electronics13173509","title":"A Systematic Review of Synthetic Data Generation Techniques Using Generative AI","year":2024,"lang":"en","type":"review","venue":"Electronics","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Generative grammar; Computer science; Synthetic data; Artificial intelligence; Data science; Data mining","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":[0.002512112,0.001188202,0.001586611,0.004466787,0.0003717271,0.001388417,0.00139869,0.001279869,0.006623326],"category_scores_gemma":[0.01201224,0.000572304,0.001849105,0.004344541,0.0005502609,0.001660292,0.0007551368,0.001106937,0.001557774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007217213,"about_ca_system_score_gemma":0.003596222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525057,"about_ca_topic_score_gemma":0.005185534,"domain_scores_codex":[0.9988132,0.0003589905,0.0002697785,0.0001537828,0.0003701903,0.00003412664],"domain_scores_gemma":[0.9908056,0.007539092,0.0005786582,0.0002450261,0.0007578233,0.0000738051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008767969,0.00008256422,0.0004126227,0.2043305,0.0005412543,0.0001641484,0.0001644979,0.002370282,0.0009702467,0.009799593,0.02143348,0.7596431],"study_design_scores_gemma":[0.00004453619,0.000273738,0.001369447,0.1213466,0.001516823,0.0007952761,0.0001970364,0.001183634,0.001371789,0.00763973,0.8641863,0.00007497524],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003400038,0.9936345,0.002970921,0.000427261,0.0002203824,0.0001072436,0.0002646257,0.00003591505,0.001999285],"genre_scores_gemma":[0.002506634,0.9930156,0.003132724,0.0003263352,0.0001035154,0.0001456943,0.0002634301,0.00001647051,0.0004895153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006623326,"threshold_uncertainty_score":0.02215725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.051434752465047,"score_gpt":0.3383780635860664,"score_spread":0.2869433111210195,"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."}}