{"id":"W2070571200","doi":"10.1145/1062745.1062786","title":"X-warehouse","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data warehouse; XML; Information retrieval; Cluster analysis; Database; XML database; Data mining; World Wide Web; Artificial intelligence","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":[0.001920514,0.001097929,0.0008807288,0.001539216,0.00111585,0.006206213,0.004111297,0.001021801,0.02707943],"category_scores_gemma":[0.002551573,0.0007856704,0.001342948,0.002993911,0.0004117853,0.007626705,0.003679343,0.001247643,0.01966767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005735412,"about_ca_system_score_gemma":0.001202178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151792,"about_ca_topic_score_gemma":0.001600654,"domain_scores_codex":[0.9985469,0.0001745588,0.0002437463,0.0003776884,0.0005109067,0.0001461946],"domain_scores_gemma":[0.9980633,0.0001947203,0.000115779,0.001100387,0.0003855853,0.0001402328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001623001,0.0005529006,0.009571898,0.001682606,0.0004398705,0.001535749,0.001006267,0.01171059,0.02219911,0.1636128,0.2057905,0.5802747],"study_design_scores_gemma":[0.00021147,0.0003537561,0.002114163,0.0002303527,0.0001362858,0.001216872,0.0005242456,0.03744109,0.02620523,0.05127673,0.8801792,0.0001106522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02138437,0.00378659,0.7492972,0.001850261,0.001044334,0.001389554,0.01691938,0.1009897,0.1033385],"genre_scores_gemma":[0.1519068,0.005812227,0.6344683,0.002549438,0.0004637954,0.001046771,0.08402064,0.006539077,0.1131929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02707943,"threshold_uncertainty_score":0.0905897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00953728755594049,"score_gpt":0.2292020128781794,"score_spread":0.2196647253222389,"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."}}