{"id":"W1990694685","doi":"10.1145/1297797.1297800","title":"Does data warehouse end-user metadata add value?","year":2007,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Data warehouse; Metadata; Computer science; Database; End user; Value (mathematics); World Wide Web; 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":[0.03092339,0.0004877116,0.0008709249,0.003448156,0.001075669,0.0141629,0.002096166,0.003913635,0.01006597],"category_scores_gemma":[0.1405304,0.0006565505,0.000638602,0.00646917,0.004453083,0.04115187,0.003401413,0.002434249,0.004255496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002861319,"about_ca_system_score_gemma":0.004409594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003599183,"about_ca_topic_score_gemma":0.004950757,"domain_scores_codex":[0.9844933,0.007484609,0.0007945293,0.0008744175,0.005073965,0.001279245],"domain_scores_gemma":[0.8699822,0.07911959,0.007390494,0.01091246,0.02824976,0.004345497],"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":[0.001100982,0.00058208,0.1374814,0.001881899,0.0003143841,0.0006250456,0.003323952,0.0007502327,0.003183356,0.1056318,0.1228405,0.6222844],"study_design_scores_gemma":[0.0004039005,0.0007408361,0.08289788,0.00368883,0.0006106325,0.001642175,0.03099868,0.007810486,0.01305029,0.4278299,0.4300582,0.0002681662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1179852,0.01946189,0.02213426,0.7527004,0.003074451,0.0001551361,0.001742658,0.0009308902,0.08181522],"genre_scores_gemma":[0.9154621,0.01748869,0.02190164,0.02794628,0.00510882,0.00008468972,0.001449131,0.0004329147,0.0101258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03092339,"threshold_uncertainty_score":0.1635404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4898806212217548,"score_gpt":0.5030314624550921,"score_spread":0.01315084123333732,"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."}}