{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003690841,0.0003155807,0.0003421897,0.0001668139,0.0004443469,0.0005256168,0.00268083,0.0001905064,0.00003633387],"category_scores_gemma":[0.0004875235,0.0003184687,0.00008284433,0.0002521005,0.0002019426,0.001143998,0.003634899,0.0005642623,0.00002615719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005026471,"about_ca_system_score_gemma":0.0002308115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006751259,"about_ca_topic_score_gemma":0.003148516,"domain_scores_codex":[0.9964436,0.001262676,0.0005877372,0.0009827815,0.0003991921,0.0003240311],"domain_scores_gemma":[0.9928825,0.0008314021,0.0004025666,0.005167993,0.0005217256,0.0001937927],"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":[0.000006037513,0.000328245,0.0001875927,0.0002728814,0.00008413258,0.000008588068,0.01416988,0.0002661636,0.0007230715,0.5809633,0.005923662,0.3970664],"study_design_scores_gemma":[0.000525336,3.807779e-7,0.003640775,0.001880585,0.00003573097,0.00004586258,0.000222173,0.09373561,0.005472407,0.002790385,0.8908656,0.0007851755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004369661,0.00229339,0.9431866,0.01350867,0.0001298525,0.0003787754,0.0006019912,0.0003648191,0.03516628],"genre_scores_gemma":[0.2718835,0.002136652,0.7161467,0.0002327699,0.00009335033,0.00008315359,0.003627654,0.00005614304,0.005740079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8849419,"threshold_uncertainty_score":0.9999267,"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."}}