{"id":"W1981001739","doi":"10.14778/1454159.1454200","title":"Semandaq","year":2008,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Relational database; SQL; Quality (philosophy); Database; Data mining; User interface; Interface (matter); Data quality; Programming language; Engineering; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753369,0.00009620295,0.0001875173,0.00009801119,0.0001971393,0.00006572949,0.001422371,0.00002513554,0.0002031188],"category_scores_gemma":[0.0008651339,0.00005264088,0.0001303364,0.0004938522,0.0001624266,0.0003044075,0.000753782,0.0000752796,0.0001666146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002866242,"about_ca_system_score_gemma":0.00001752333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003908946,"about_ca_topic_score_gemma":0.000003528027,"domain_scores_codex":[0.9975898,0.00001210643,0.0004660881,0.0002824942,0.001462681,0.0001868879],"domain_scores_gemma":[0.9990459,0.0001065582,0.0003029659,0.0002763492,0.0002119069,0.00005632657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006856683,0.0003630243,0.02308299,0.0000516598,0.00007718274,0.000002274587,0.004628964,0.000022125,0.01005009,0.1933978,0.7510016,0.01725369],"study_design_scores_gemma":[0.0008672022,0.0001264121,0.03287261,0.00005207856,0.00003461584,0.00003509499,0.003185166,0.0001226683,0.09423654,0.1112789,0.756931,0.0002577315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006836,0.0001183218,0.0001797275,0.008735856,0.0006202189,0.0005853546,0.00002398297,0.00005611459,0.1889969],"genre_scores_gemma":[0.9865485,0.00004845933,0.0005943238,0.0006105715,0.00005098256,0.00001815765,4.494238e-7,0.000005178747,0.01212335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185865,"threshold_uncertainty_score":0.2643142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975317077409799,"score_gpt":0.364623879654714,"score_spread":0.1670921719137341,"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."}}