{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008801186,0.001317654,0.001306993,0.002647557,0.001035912,0.006549304,0.004904649,0.001382289,0.02392496],"category_scores_gemma":[0.02269763,0.001549381,0.002123913,0.002555723,0.001481745,0.009941374,0.006264762,0.0025107,0.009237615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447247,"about_ca_system_score_gemma":0.003154727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00572458,"about_ca_topic_score_gemma":0.004640573,"domain_scores_codex":[0.9936793,0.001430319,0.0007887653,0.001333024,0.002453749,0.0003148482],"domain_scores_gemma":[0.9818186,0.006126603,0.0009862324,0.007115166,0.003500254,0.0004531692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001628938,0.0003196885,0.009097397,0.002861521,0.0004022565,0.0007052271,0.001759125,0.009857164,0.01950166,0.09905809,0.3775675,0.4772414],"study_design_scores_gemma":[0.0003668133,0.0002016959,0.002613459,0.0002649961,0.000144077,0.0009254937,0.0003676981,0.08870943,0.02532764,0.07789332,0.8029523,0.0002332286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005978352,0.0008382791,0.6814178,0.001131663,0.0003828267,0.0004044065,0.01588257,0.2836559,0.01030814],"genre_scores_gemma":[0.09953402,0.001125266,0.7764047,0.001730547,0.0002124529,0.0007050423,0.06097915,0.04485931,0.01444951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02392496,"threshold_uncertainty_score":0,"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."}}