{"id":"W4403155585","doi":"10.1007/s41060-024-00653-3","title":"A comparative exploration of two diffusion generative models on tabular data synthesis","year":2024,"lang":"en","type":"article","venue":"International Journal of Data Science and Analytics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Generative grammar; Diffusion; Computer science; Artificial intelligence; Physics","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":[0.008502777,0.0006133386,0.001108847,0.001531431,0.0008881798,0.005126525,0.001890514,0.001723248,0.009709797],"category_scores_gemma":[0.05363946,0.0006823211,0.001752435,0.001914997,0.001724468,0.005762216,0.001916046,0.001760354,0.001146121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002688851,"about_ca_system_score_gemma":0.00219444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094645,"about_ca_topic_score_gemma":0.009673664,"domain_scores_codex":[0.9973288,0.001905412,0.00008482933,0.0002620998,0.0002892719,0.0001295766],"domain_scores_gemma":[0.9359396,0.0579092,0.001027014,0.002976999,0.001630792,0.0005165151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002010894,0.00008567933,0.00295449,0.0002417712,0.0001084628,0.00009337855,0.001622554,0.4096234,0.0006022683,0.545399,0.001574202,0.03749371],"study_design_scores_gemma":[0.00001497171,0.00002783577,0.0001943077,0.00003084841,0.00002068535,0.00002116229,0.000169724,0.9026071,0.0001809933,0.09544215,0.001276554,0.00001362647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08773927,0.0008668849,0.894568,0.002591767,0.00009228993,0.0001428139,0.0004111424,0.0006386403,0.01294924],"genre_scores_gemma":[0.8519534,0.0009144004,0.1392308,0.0003361962,0.00006002191,0.0002031485,0.0005591254,0.0004406555,0.006302131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094645,"threshold_uncertainty_score":0.04496753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2532926116103552,"score_gpt":0.4105372524801282,"score_spread":0.157244640869773,"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."}}