{"id":"W2090539590","doi":"10.1145/375551.375575","title":"Querying partially sound and complete data sources","year":2001,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Probabilistic logic; Consistency (knowledge bases); Semantics (computer science); Set (abstract data type); Information retrieval; Possible world; Data quality; Data collection; Data mining; Theoretical computer science; Artificial intelligence; Programming language; Mathematics; Metric (unit)","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":[0.02456359,0.001293629,0.003210396,0.004613241,0.002834721,0.01037415,0.004969481,0.003384703,0.001853864],"category_scores_gemma":[0.0991565,0.001920547,0.00353018,0.006584757,0.005743806,0.01654417,0.008749788,0.003461384,0.0003646319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284696,"about_ca_system_score_gemma":0.003905996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004911894,"about_ca_topic_score_gemma":0.006524718,"domain_scores_codex":[0.9645989,0.01352914,0.004047927,0.004814421,0.01190211,0.001107592],"domain_scores_gemma":[0.8698806,0.1040944,0.004862733,0.01207269,0.007874214,0.001215404],"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":[0.001079329,0.0003459508,0.01142172,0.001399937,0.000906784,0.002779383,0.005330571,0.1753567,0.01136387,0.6760923,0.007649834,0.1062737],"study_design_scores_gemma":[0.0001707958,0.00009303267,0.00089056,0.0001727427,0.0002249156,0.0006867141,0.001115885,0.3519443,0.009511975,0.6274415,0.007632252,0.000115286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03962743,0.0005014552,0.9537877,0.001833435,0.00004445853,0.000214665,0.001476332,0.0008708722,0.001643592],"genre_scores_gemma":[0.3207577,0.0005399396,0.6720914,0.0005420523,0.0001739701,0.0004488578,0.003853629,0.0003207811,0.00127177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02456359,"threshold_uncertainty_score":0.1299062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032198056976168,"score_gpt":0.2845998366516957,"score_spread":0.1813800309540789,"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."}}