{"id":"W2427822648","doi":"10.1109/icde.2016.7498319","title":"DataXFormer: A robust transformation discovery system","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Transformation (genetics); Data transformation; Representation (politics); External Data Representation; Knowledge base; Information retrieval; Base (topology); World Wide Web; Data mining; Theoretical computer science; Artificial intelligence; Data warehouse; Mathematics","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":[0.004419406,0.001433894,0.001298502,0.004296596,0.00107384,0.002348126,0.003427978,0.00125299,0.01060783],"category_scores_gemma":[0.01137362,0.001084265,0.002085895,0.00334145,0.0009401382,0.004185558,0.003694034,0.001840619,0.007144825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320742,"about_ca_system_score_gemma":0.002906942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007453701,"about_ca_topic_score_gemma":0.008262133,"domain_scores_codex":[0.995971,0.0005572186,0.0004930641,0.001338834,0.001483833,0.0001559293],"domain_scores_gemma":[0.9949687,0.001833674,0.0003868423,0.001796257,0.0008831067,0.0001315884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009608721,0.0004005326,0.006795187,0.001045627,0.0002998214,0.0008953918,0.000561409,0.01817228,0.02273544,0.01449943,0.2291798,0.7044542],"study_design_scores_gemma":[0.0006325949,0.000261297,0.006558431,0.0002639116,0.0002171503,0.001240673,0.0004210259,0.3913089,0.1136742,0.04058236,0.444465,0.0003743825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007755894,0.0004133036,0.5711513,0.0004504763,0.0001006642,0.0004511366,0.01545941,0.4003022,0.003915689],"genre_scores_gemma":[0.0757525,0.0004309657,0.8189064,0.0005492552,0.00006692667,0.000822456,0.08247311,0.01357044,0.007427955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01060783,"threshold_uncertainty_score":0.03548676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2087469238632512,"score_gpt":0.3724310305524388,"score_spread":0.1636841066891875,"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."}}