{"id":"W2006616981","doi":"10.1145/1835449.1835644","title":"A framework for BM25F-based XML retrieval","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Element (criminal law); Information retrieval; XML; Field (mathematics); XML framework; Document Structure Description; XML validation; Weighting; XML Schema (W3C); XML Signature; World Wide Web; Mathematics; Physics","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":[0.0002082437,0.00008991081,0.0001099943,0.00003791803,0.0001137736,0.00005010226,0.0003285762,0.0000743761,0.00004887252],"category_scores_gemma":[0.0003130524,0.00007032295,0.00005749249,0.0001812764,0.00003632925,0.0003318427,0.00007708488,0.0001506704,0.00004114133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006251875,"about_ca_system_score_gemma":0.00007022142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009518201,"about_ca_topic_score_gemma":0.00002458861,"domain_scores_codex":[0.9992275,0.00000979644,0.0001407724,0.0002719855,0.0001377323,0.0002122444],"domain_scores_gemma":[0.9988378,0.000264603,0.00005076678,0.0006858224,0.00007931828,0.00008167627],"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":[0.000009559149,0.00001327539,0.0000443244,0.0000104152,0.000002082307,0.000001402119,0.00002813761,0.000006334681,0.003106618,0.9934964,0.0007750583,0.002506399],"study_design_scores_gemma":[0.00056238,0.0001300571,0.0002268247,0.00003393615,0.000003675608,0.00001005191,0.00002629486,0.04041736,0.05909672,0.06480817,0.8343009,0.0003835618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002153727,0.00001252042,0.9943691,0.001021252,0.001060201,0.0002050789,0.00001684191,0.0002254325,0.0009357875],"genre_scores_gemma":[0.06246106,3.666182e-7,0.9361861,0.0006803985,0.0001863592,0.00001853096,0.000005180831,0.000007225561,0.0004548073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9286882,"threshold_uncertainty_score":0.2867687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058687536043164,"score_gpt":0.2983808553617137,"score_spread":0.277793980001282,"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."}}