{"id":"W2091298248","doi":"10.1145/1321440.1321572","title":"Ix-cubes","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Online analytical processing; Computer science; XML database; XML Schema Editor; Streaming XML; XML; Data cube; Database; Information retrieval; Cube (algebra); Relational database; XML Schema (W3C); Efficient XML Interchange; Data warehouse; Data mining; XML Encryption; World Wide Web; Mathematics","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":[0.001529047,0.001117348,0.001163462,0.001405475,0.001138144,0.004883711,0.002473011,0.0008925476,0.01307523],"category_scores_gemma":[0.005704636,0.0005037251,0.001694114,0.003965687,0.0009952423,0.005295338,0.004824057,0.001946032,0.004656482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237027,"about_ca_system_score_gemma":0.00184476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327292,"about_ca_topic_score_gemma":0.002763514,"domain_scores_codex":[0.9967273,0.0004803971,0.0003750777,0.0004558606,0.001643158,0.0003181097],"domain_scores_gemma":[0.997507,0.0004988643,0.0002161118,0.0006815526,0.0009180594,0.0001785068],"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":[0.0005612701,0.0001244081,0.002725199,0.0006660371,0.0001838936,0.0005528223,0.0004658576,0.09130791,0.005669273,0.5715744,0.05050494,0.2756639],"study_design_scores_gemma":[0.00007870955,0.0001456678,0.0006003806,0.0001584074,0.00006193758,0.0007389126,0.0005153903,0.2262108,0.007484688,0.5454518,0.2184917,0.00006169652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01443926,0.001711266,0.9344949,0.001062514,0.0004127271,0.0004365961,0.006020785,0.002924531,0.03849749],"genre_scores_gemma":[0.1924999,0.003829696,0.7594177,0.0009044296,0.0003312346,0.000920765,0.01907334,0.0005799165,0.02244301],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01307523,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176888789304932,"score_gpt":0.258167998344998,"score_spread":0.2463991104519487,"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."}}