{"id":"W1999812853","doi":"10.1145/1866480.1866484","title":"LTIX","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Joins; XML; Search engine indexing; Path (computing); Pruning; Path expression; Data mining; Scheme (mathematics); Index (typography); XPath; Tree (set theory); Tree structure; Twig; Data structure; Information retrieval; Theoretical computer science; XML database; Query language; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00117686,0.0006703911,0.0006016785,0.001903326,0.0008205296,0.003227179,0.001714838,0.0009367334,0.0414281],"category_scores_gemma":[0.004371013,0.0004637617,0.0006717552,0.002961937,0.000437333,0.004936222,0.002804113,0.001276205,0.02641159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205196,"about_ca_system_score_gemma":0.00151875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157557,"about_ca_topic_score_gemma":0.002100796,"domain_scores_codex":[0.998563,0.0002106447,0.0002107393,0.0002432656,0.0005999175,0.0001724529],"domain_scores_gemma":[0.9986017,0.0002795484,0.0001317536,0.0005346758,0.0003617894,0.00009053364],"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":[0.0007004493,0.0001877405,0.002594951,0.00100678,0.0000862382,0.0004452096,0.000526343,0.005236681,0.02828395,0.1301304,0.208682,0.6221193],"study_design_scores_gemma":[0.0001237151,0.000329474,0.001427026,0.0001797409,0.0000654533,0.0009494078,0.0002902442,0.05480955,0.03869893,0.06385903,0.8391782,0.00008930534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01032226,0.0009251155,0.7832631,0.0008508684,0.0003914127,0.0007821848,0.01740426,0.1017173,0.08434346],"genre_scores_gemma":[0.1616942,0.001940784,0.6203045,0.001693785,0.0004434627,0.001403293,0.09118973,0.01000163,0.1113286],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9585719,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004661640029444121,"score_gpt":0.2231415807463154,"score_spread":0.2184799407168713,"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."}}