{"id":"W3215670116","doi":"10.1109/icde53745.2022.00169","title":"Efficiently Transforming Tables for Joinability","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 38th International Conference on Data Engineering (ICDE)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Disk formatting; Computer science; Row; Transformation (genetics); Set (abstract data type); Representation (politics); State (computer science); Table (database); Theoretical computer science; Join (topology); Data mining; Data transformation; Algorithm; Programming language; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004949576,0.000202516,0.0002644795,0.000387517,0.0002718721,0.0004120888,0.004351128,0.00003330867,0.005218325],"category_scores_gemma":[0.001582976,0.0001942792,0.0001003813,0.0004138022,0.00004128055,0.0006957519,0.00097496,0.0002997208,0.00008200303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915451,"about_ca_system_score_gemma":0.0001061611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008035039,"about_ca_topic_score_gemma":0.00005499364,"domain_scores_codex":[0.9960146,0.00009522816,0.0006915426,0.0009111409,0.001950755,0.000336729],"domain_scores_gemma":[0.9974089,0.0006706145,0.0001693113,0.001448998,0.0001999421,0.0001022084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000409218,0.0007227311,0.000168001,0.00009140393,0.0002342994,0.00002601015,0.0009549084,0.1599289,0.004079582,0.5352747,0.237385,0.06072518],"study_design_scores_gemma":[0.0004083788,0.0001095497,0.0001155558,0.00001282776,0.00001181025,0.000003935233,0.0007585678,0.3950798,0.0002801055,0.003059354,0.5999498,0.0002103329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04872682,0.00008563264,0.8671991,0.01267921,0.01282514,0.001831079,0.04731748,0.000303996,0.009031607],"genre_scores_gemma":[0.9853244,0.00002752526,0.003241605,0.0006783826,0.0002570064,0.0002717905,0.004902103,0.00003181741,0.005265385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9365976,"threshold_uncertainty_score":0.9956911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.335103052832682,"score_gpt":0.4249302990745663,"score_spread":0.08982724624188426,"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."}}