{"id":"W2277519993","doi":"10.4242/balisagevol5.briquet01","title":"A Virtualization-Based Retrieval and Update API for XML-Encoded Corpora","year":2010,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; XML; Information retrieval; Markup language; World Wide Web; Simple API for XML; Well-formed document; XML framework; SGML; Representation (politics); Virtualization; Streaming XML; Document Structure Description; Document type definition; XML Signature; Operating system; Cloud computing","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":[0.002743746,0.001051721,0.001042056,0.00230391,0.0008462375,0.003528894,0.002579598,0.0009632297,0.01485512],"category_scores_gemma":[0.009531323,0.0009360973,0.0009344795,0.002512081,0.0008107592,0.00538656,0.003555312,0.001713959,0.009161875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263306,"about_ca_system_score_gemma":0.001154157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499004,"about_ca_topic_score_gemma":0.002624368,"domain_scores_codex":[0.9986115,0.0003076115,0.0002259857,0.0002516513,0.0005065493,0.00009676436],"domain_scores_gemma":[0.9957467,0.001617618,0.0002940308,0.001647273,0.0005209635,0.0001734929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001777708,0.0003399208,0.00312252,0.001078332,0.0002559417,0.00147603,0.00212136,0.009053993,0.06669018,0.07390159,0.1843223,0.6558601],"study_design_scores_gemma":[0.0004240326,0.0002602451,0.004382635,0.000259963,0.0001799725,0.002664317,0.0005151586,0.2544602,0.1403116,0.06587408,0.5301887,0.0004790461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005741569,0.000253083,0.7055119,0.0002794435,0.0001285291,0.0003902909,0.00478293,0.2746464,0.008265859],"genre_scores_gemma":[0.160661,0.0008547547,0.7272001,0.0007331359,0.0002121086,0.001713193,0.03341822,0.04513014,0.0300774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01485512,"threshold_uncertainty_score":0.04969531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009566712296790668,"score_gpt":0.2309762155939664,"score_spread":0.2214095032971757,"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."}}