{"id":"W4236479761","doi":"10.4018/978-1-60566-982-3.ch115","title":"Mapping Policies to Web Rules","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Athabasca University; University of British Columbia","funders":"","keywords":"Computer science; Markup language; Semantics of Business Vocabulary and Business Rules; RuleML; Business rule; Context (archaeology); World Wide Web; Programming language; Natural language processing; XML; XHTML; Business process; Business","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":[0.001958185,0.0009973386,0.0006153757,0.002842973,0.001070484,0.008209833,0.001705621,0.001794385,0.01113723],"category_scores_gemma":[0.005773274,0.0009484252,0.001003772,0.002724996,0.002600749,0.008921986,0.002520416,0.004095582,0.006468311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183161,"about_ca_system_score_gemma":0.001992962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204402,"about_ca_topic_score_gemma":0.00131614,"domain_scores_codex":[0.9975976,0.000786173,0.0002545356,0.0003160969,0.0008878059,0.0001577866],"domain_scores_gemma":[0.9975688,0.001411997,0.0001318303,0.0005067149,0.000296233,0.00008439209],"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":[0.00001166387,0.00004520161,0.00008192218,0.000243736,0.00001329608,0.0001809685,0.0005825482,0.00452991,0.0008655302,0.8763993,0.00823459,0.1088115],"study_design_scores_gemma":[0.00001073681,0.00001127881,0.00008277083,0.0003876053,0.00001281247,0.0002456632,0.0002770827,0.01232912,0.002643672,0.5935613,0.390416,0.00002210134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004235107,0.004899527,0.7640983,0.003271,0.0007415095,0.0003228582,0.0006170745,0.002967644,0.2188468],"genre_scores_gemma":[0.1153755,0.02116614,0.7608193,0.002766597,0.0007890904,0.001099392,0.002286447,0.001783947,0.09391347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01113723,"threshold_uncertainty_score":0.03725773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941153055069668,"score_gpt":0.2304318353856941,"score_spread":0.2110203048349974,"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."}}