{"id":"W2050265418","doi":"10.1145/1804669.1804698","title":"Data correspondence, exchange and repair","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Homomorphism; Computer science; Tuple; Data exchange; Generalization; Functional dependency; Class (philosophy); Theoretical computer science; Perspective (graphical); Database; Relational database; Mathematics; Discrete mathematics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002731802,0.00005980461,0.00006848978,0.00003343319,0.00007181105,0.00003439405,0.0004793149,0.00002475324,0.00007833393],"category_scores_gemma":[0.00007380037,0.00004531454,0.000008425141,0.0001081555,0.00004741596,0.001239021,0.001141555,0.000085876,0.00004942911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001417904,"about_ca_system_score_gemma":0.00002084821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005183942,"about_ca_topic_score_gemma":0.0003558604,"domain_scores_codex":[0.9993443,0.00001358538,0.00008794223,0.0003330066,0.0001027148,0.0001184324],"domain_scores_gemma":[0.9983261,0.00005439136,0.0000259743,0.001504538,0.00002266139,0.00006639647],"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":[0.000002408708,0.00001542821,0.001308588,0.00002449818,0.000004918093,0.00003009029,0.0001541876,1.545541e-7,0.002689529,0.9144313,0.05223837,0.02910049],"study_design_scores_gemma":[0.00007305308,0.00001370462,0.001799358,0.000004180269,8.179604e-7,0.00005327009,0.00001839436,0.01466808,0.0001551586,0.000294212,0.9828337,0.00008605196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008495633,0.0001660722,0.9807061,0.0003350356,0.000858204,0.0000931804,0.0000626325,0.0004155551,0.008867584],"genre_scores_gemma":[0.02798805,0.00004445849,0.9603027,0.0005224132,0.0001874011,0.000008786275,0.00003013396,0.000007101479,0.01090892],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9305953,"threshold_uncertainty_score":0.1847873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235578818536942,"score_gpt":0.2857056419313652,"score_spread":0.2533498537459957,"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."}}