{"id":"W4250082276","doi":"10.1109/icse.2001.919195","title":"Babel: representing business rules in XML for application integration","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interoperation; Computer science; XML; Programming language; Information retrieval; Software engineering; Database; World Wide Web; Interoperability","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":[0.006701844,0.001464607,0.001129843,0.003447179,0.001234201,0.007420136,0.003139843,0.002492227,0.009370747],"category_scores_gemma":[0.01150263,0.001593157,0.001710339,0.002875202,0.001256108,0.007214274,0.003464576,0.00325608,0.004022207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007337361,"about_ca_system_score_gemma":0.001591947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064911,"about_ca_topic_score_gemma":0.003458182,"domain_scores_codex":[0.996156,0.001338138,0.0005994466,0.0004544045,0.001210987,0.00024092],"domain_scores_gemma":[0.995389,0.002633971,0.0003535104,0.000782595,0.0006564456,0.0001845047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001136232,0.0006199042,0.003727749,0.003017516,0.0005702117,0.002624241,0.002211545,0.04037166,0.02312945,0.3243879,0.08534845,0.5128551],"study_design_scores_gemma":[0.0002580334,0.0002073354,0.0006822425,0.001105118,0.0003171854,0.001303041,0.0004222667,0.2872931,0.05717906,0.1673471,0.4836623,0.0002232603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002228489,0.0003919228,0.9641477,0.0004064859,0.0001463791,0.0002306321,0.001069238,0.02804688,0.00333223],"genre_scores_gemma":[0.04373518,0.001105623,0.9390694,0.0008249774,0.0001027862,0.000471051,0.005415432,0.00348513,0.005790411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009370747,"threshold_uncertainty_score":0.03544313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416551634980876,"score_gpt":0.2618355483762297,"score_spread":0.237670032026421,"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."}}