{"id":"W2612373057","doi":"","title":"Resource Trees and XML Data Transformations - abstract","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Computer science; XML; Efficient XML Interchange; Information retrieval; Database; World Wide Web","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":[0.004162058,0.0006389752,0.0005634078,0.002449592,0.001275006,0.003809802,0.001671341,0.001518185,0.003375647],"category_scores_gemma":[0.007018296,0.0006421381,0.001332021,0.002785031,0.003914208,0.01065947,0.003082435,0.002387308,0.0008414083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108887,"about_ca_system_score_gemma":0.001814732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004888986,"about_ca_topic_score_gemma":0.002177643,"domain_scores_codex":[0.994087,0.001950898,0.0005114654,0.0007611029,0.002275189,0.0004144194],"domain_scores_gemma":[0.9946629,0.002559151,0.0006095349,0.001018489,0.0009954424,0.0001544421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006809645,0.00003184879,0.0005251275,0.0001263454,0.00001964013,0.0003247981,0.000381545,0.008756638,0.00362301,0.9639568,0.00172234,0.02046389],"study_design_scores_gemma":[0.00003349785,0.00005349813,0.0002950248,0.0001395418,0.00004899256,0.000483358,0.0002438445,0.1065996,0.01814051,0.8156528,0.05824575,0.00006368953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01552851,0.000506545,0.9731223,0.0008968626,0.00008006112,0.00009428441,0.0003099461,0.001815075,0.007646359],"genre_scores_gemma":[0.427227,0.0009331526,0.5575754,0.001028391,0.0001215881,0.000360858,0.001312806,0.0008095237,0.01063135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004888986,"threshold_uncertainty_score":0.02201134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534256119700696,"score_gpt":0.2506075161821862,"score_spread":0.2252649549851793,"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."}}