{"id":"W2015071642","doi":"10.1145/1030397.1030401","title":"Querying XML documents by dynamic shredding","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; XML Schema Editor; Streaming XML; Efficient XML Interchange; XML validation; XML database; XQuery; Document Structure Description; Information retrieval; XML Schema (W3C); XML Encryption; XML; Database; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009459491,0.00009779172,0.00009862331,0.00003847602,0.0001290193,0.00006740032,0.0002713189,0.00002342762,0.00001337505],"category_scores_gemma":[0.00001169798,0.00008211977,0.00002850377,0.0001606546,0.00001871362,0.001267423,0.0001925812,0.00005837579,0.0001377437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008224798,"about_ca_system_score_gemma":0.00002731363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002243998,"about_ca_topic_score_gemma":0.00004337687,"domain_scores_codex":[0.999166,0.00001113797,0.0001549584,0.0002732736,0.0001645543,0.0002301432],"domain_scores_gemma":[0.9994854,0.00001495573,0.00004559085,0.0003680194,0.00001969396,0.00006628032],"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":[0.000002248322,0.00004454338,0.000106426,0.00002305853,0.00001742383,0.00002887903,0.0004407927,0.0005800585,0.02591555,0.9540527,0.00157573,0.01721256],"study_design_scores_gemma":[0.004332419,0.0003155014,0.0005649608,0.0005769004,0.00001513914,0.0002774048,0.0009617981,0.02847762,0.08819464,0.05282781,0.8209611,0.002494772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00755247,0.0001590588,0.9859649,0.000363098,0.0002679628,0.00007871381,0.00000576058,0.0002305909,0.005377425],"genre_scores_gemma":[0.5888608,0.00002736661,0.4083981,0.0004147035,0.00002253121,0.00001426638,0.00001340888,0.00001017317,0.002238666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9012249,"threshold_uncertainty_score":0.3348747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005008996265919023,"score_gpt":0.2484060566656745,"score_spread":0.2433970603997555,"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."}}