{"id":"W2047745978","doi":"10.1145/1514894.1514901","title":"On approximating optimum repairs for functional dependency violations","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional dependency; Tuple; Computer science; Set (abstract data type); Dependency theory (database theory); Constant (computer programming); Approximation algorithm; Dependency (UML); Algorithm; Database; Mathematics; Relational database; Discrete mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002627136,0.00007005617,0.0001059041,0.0001380863,0.0002448274,0.000188255,0.0002845711,0.00003010042,0.000939228],"category_scores_gemma":[0.002690885,0.00005007814,0.00009124281,0.000253111,0.00001409768,0.0003528745,0.0000436839,0.00004825124,0.0003581829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001902524,"about_ca_system_score_gemma":0.00001951933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004780912,"about_ca_topic_score_gemma":0.00001442552,"domain_scores_codex":[0.9983321,0.00004998971,0.0004306331,0.0003386959,0.0007012293,0.0001473716],"domain_scores_gemma":[0.9982681,0.001026062,0.0001089553,0.0004266745,0.0001190742,0.000051127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002623641,0.00009212238,0.00004298326,0.000001345816,0.000005406768,3.672549e-7,0.00005325111,0.001686542,0.00002498355,0.7970377,0.1225505,0.07847858],"study_design_scores_gemma":[0.0003571221,0.0002028427,0.004279559,0.000006464773,0.000007944621,0.000001140795,0.0007401217,0.05237868,0.00006663931,0.8995391,0.04229067,0.0001296859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003214772,0.000004560587,0.8586867,0.003569468,0.0002376024,0.0002830063,0.00002001688,0.00008978677,0.133894],"genre_scores_gemma":[0.8695891,0.000001252856,0.1011703,0.004783403,0.0001403045,0.00003959616,0.00006795153,0.00000522434,0.02420286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8663744,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2489855454233683,"score_gpt":0.4310638159039699,"score_spread":0.1820782704806016,"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."}}