{"id":"W1979393344","doi":"10.1504/ijiids.2012.045113","title":"Handling sharable queries in both streaming and stored XML documents","year":2012,"lang":"en","type":"article","venue":"International Journal of Intelligent Information and Database Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; XML; Information retrieval; Query plan; Streaming XML; Matching (statistics); Database; World Wide Web; Web search query; Sargable; Search engine","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":[0.0009082818,0.0001244827,0.0001967983,0.0004028225,0.00006127862,0.0002649897,0.000251474,0.00003401319,0.000007166034],"category_scores_gemma":[0.0001461208,0.0001013129,0.0000287578,0.000105228,0.00003260951,0.01094921,0.000205118,0.0001331204,0.00001081128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016646,"about_ca_system_score_gemma":0.00005092082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002927252,"about_ca_topic_score_gemma":0.00001552358,"domain_scores_codex":[0.9983938,0.00005195781,0.000842597,0.00008221683,0.000447864,0.0001815659],"domain_scores_gemma":[0.9988238,0.00008869411,0.0005558666,0.0001445537,0.0002491191,0.0001379216],"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":[0.0003558733,0.0002944907,0.07528692,0.0006272716,0.0004076856,0.00008347371,0.02671207,0.002986484,0.001407052,0.7764509,0.002690352,0.1126975],"study_design_scores_gemma":[0.002876311,0.0002286903,0.006961735,0.00326678,0.00002475616,0.002814063,0.01690134,0.04968351,0.003564451,0.0002287986,0.9126289,0.0008205837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07541901,0.003289993,0.9176161,0.000132274,0.002655798,0.0001728513,0.0001185292,0.00002099784,0.0005744832],"genre_scores_gemma":[0.9831574,0.001420445,0.01488295,0.0001528558,0.0002394356,0.00000836609,0.00007775529,0.000005432602,0.00005535072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9099386,"threshold_uncertainty_score":0.7937912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504529344288425,"score_gpt":0.2730218629965072,"score_spread":0.2579765695536229,"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."}}