{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004353678,0.00003609884,0.00003927597,0.00001743895,0.00003619048,0.00001552875,0.0001499213,0.000008709712,0.00004566429],"category_scores_gemma":[0.000006431404,0.00002717155,0.00001349451,0.00007075661,0.000007984038,0.0006509062,0.00008762129,0.00002132388,0.0004569042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007820162,"about_ca_system_score_gemma":0.000009456141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001084221,"about_ca_topic_score_gemma":0.00002618058,"domain_scores_codex":[0.9996607,0.000006009348,0.00006426397,0.0001105332,0.00006682466,0.00009172434],"domain_scores_gemma":[0.9996228,0.00001102615,0.00001256028,0.0003061521,0.00001335885,0.00003410416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.114641e-7,0.000006808857,0.00003679409,9.547323e-7,9.710146e-7,0.000001749254,0.00007450551,0.00007547802,0.0001246782,0.9334277,0.005433822,0.06081631],"study_design_scores_gemma":[0.00005399245,0.000006868126,0.0001115369,0.000001811273,1.640123e-7,0.000008957489,0.000007964724,0.004477942,0.002712552,0.0001998304,0.9923629,0.00005543438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005134397,0.00005575189,0.9773636,0.0009997172,0.00007558294,0.00002531129,7.985935e-7,0.000260386,0.02070536],"genre_scores_gemma":[0.1457177,0.000005297324,0.8483728,0.0008091656,0.0001073565,0.000004205402,6.407043e-7,0.000002906545,0.004980012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9869291,"threshold_uncertainty_score":0.5872731,"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."}}