{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006515839,0.0003840888,0.001638688,0.000258938,0.00002693753,0.00005313731,0.0005846202,0.0001864517,0.000008258594],"category_scores_gemma":[0.00005989314,0.0003069503,0.0002342742,0.000422693,0.00001935545,0.0001502717,0.0001511771,0.0004481937,0.00001442331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508497,"about_ca_system_score_gemma":0.0001655325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.322034e-7,"about_ca_topic_score_gemma":0.000004242068,"domain_scores_codex":[0.9980783,0.0001370633,0.0009681887,0.0003662515,0.0002211409,0.0002289902],"domain_scores_gemma":[0.9985458,0.00002230239,0.0001900864,0.001161364,0.00004953538,0.00003097342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[4.742638e-8,0.000006421094,1.658821e-10,0.8737351,0.0003630082,0.000002023584,0.000003991093,0.000002756692,0.000005763736,0.0006200623,0.04596898,0.07929189],"study_design_scores_gemma":[0.000005674888,0.00001427355,5.017194e-11,0.4958725,0.004572658,0.00002615697,4.72426e-7,0.02877859,0.00004238775,0.00001130939,0.4705031,0.000172864],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.837883e-9,0.9253932,0.06930431,0.00001325946,0.0001818896,0.002112392,0.00008652415,0.002608543,0.0002998641],"genre_scores_gemma":[0.000002239582,0.9967009,0.002125329,0.00006593045,0.000130562,0.0003106199,0.00051282,0.0001059859,0.00004558843],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4245341,"threshold_uncertainty_score":0.9999382,"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."}}