{"id":"W2953388369","doi":"10.48550/arxiv.cs/0211042","title":"Database Repairs and Analytic Tableaux","year":2002,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Database; Computer science; Information retrieval","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":[0.004178764,0.0006719903,0.0008204444,0.001772646,0.001238644,0.004455466,0.00155191,0.001347148,0.003605348],"category_scores_gemma":[0.02542893,0.0005669108,0.001051109,0.002017618,0.00501595,0.00674497,0.001865071,0.00267992,0.0006998976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130656,"about_ca_system_score_gemma":0.001480724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182161,"about_ca_topic_score_gemma":0.001380999,"domain_scores_codex":[0.9951599,0.001167743,0.0005182002,0.0009267337,0.001870834,0.0003566407],"domain_scores_gemma":[0.9778463,0.01359344,0.002547094,0.002777122,0.002679615,0.0005563234],"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":[0.00009868668,0.00002590342,0.00132222,0.0001586748,0.00002520467,0.000312416,0.0007844922,0.03039269,0.00309198,0.9301212,0.001926498,0.03174],"study_design_scores_gemma":[0.00002142575,0.000061376,0.0002613591,0.00006736426,0.00002931677,0.0003768989,0.0003282967,0.06288663,0.005897369,0.913433,0.01660409,0.00003279824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03580466,0.001113103,0.9544801,0.0008901683,0.00009701119,0.0001256319,0.0004623055,0.0005819831,0.006445038],"genre_scores_gemma":[0.5335171,0.001206552,0.4543489,0.0004416059,0.0001844023,0.000296666,0.00125009,0.0003353138,0.008419356],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004455466,"threshold_uncertainty_score":0.02209967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4269583216933262,"score_gpt":0.4318917152394451,"score_spread":0.00493339354611888,"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."}}