{"id":"W1521646987","doi":"10.11575/prism/30316","title":"XML Schema Structural Equivalence","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"RELAX NG; Computer science; XML; Document Structure Description; XML Schema (W3C); Schema (genetic algorithms); XML Schema Editor; Star schema; Theoretical computer science; Programming language; Database; Algorithm; Information retrieval; XML Encryption; Operating system","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":[0.006417495,0.0006764431,0.001155845,0.005360649,0.001379621,0.00584465,0.00238103,0.001633073,0.02059688],"category_scores_gemma":[0.035636,0.0009308946,0.001831795,0.004794753,0.001623322,0.008696646,0.004671568,0.002668815,0.004077636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861811,"about_ca_system_score_gemma":0.002996485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808654,"about_ca_topic_score_gemma":0.001681804,"domain_scores_codex":[0.9880089,0.002745985,0.00219762,0.00196839,0.004513694,0.0005654095],"domain_scores_gemma":[0.9815744,0.005950917,0.0009937098,0.00568895,0.005517149,0.0002749395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004661418,0.0002866296,0.004956627,0.0008598094,0.0001807837,0.0007092535,0.00203415,0.009081964,0.007411808,0.5566064,0.03002123,0.3873852],"study_design_scores_gemma":[0.0002312191,0.0001997863,0.003682688,0.0006073209,0.0002023993,0.001589471,0.001585841,0.06164114,0.0245514,0.5326227,0.3729927,0.0000933077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02977033,0.0008631583,0.8916582,0.001641823,0.0005197735,0.001611741,0.01079776,0.0127565,0.05038071],"genre_scores_gemma":[0.2042612,0.001101506,0.7332869,0.001087585,0.0002093071,0.001066171,0.0396184,0.002333031,0.0170359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02059688,"threshold_uncertainty_score":0.06890345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459750887720485,"score_gpt":0.2096168446561795,"score_spread":0.1950193357789746,"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."}}