{"id":"W2148428941","doi":"10.1109/edoc.2007.18","title":"Business Process Integration by Using General Rule Markup Language","year":2007,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Business rule; RuleML; Computer science; Markup language; Artifact-centric business process model; Business process modeling; Semantics of Business Vocabulary and Business Rules; Business domain; Business process; Process management; Business Process Model and Notation; Business process discovery; Leverage (statistics); Software engineering; XML; World Wide Web; Business; Artificial intelligence; XHTML; Work in process; Marketing","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":[0.006002907,0.001200453,0.0009067873,0.00207576,0.0008422867,0.005212391,0.002825911,0.001619613,0.002158601],"category_scores_gemma":[0.006045209,0.0009607404,0.002770825,0.001855275,0.002138497,0.006748556,0.002712966,0.002924346,0.001745215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033653,"about_ca_system_score_gemma":0.00252216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985856,"about_ca_topic_score_gemma":0.00344087,"domain_scores_codex":[0.992957,0.002209183,0.001205537,0.001087996,0.002239404,0.0003007993],"domain_scores_gemma":[0.9962468,0.001314573,0.0003974367,0.001398668,0.0005671142,0.00007540674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002194569,0.000291978,0.001105362,0.0007749159,0.0003062402,0.001710423,0.002911126,0.06371552,0.02667522,0.6678733,0.008186255,0.2262302],"study_design_scores_gemma":[0.0001240601,0.0002102102,0.0004893565,0.0004342667,0.0003710065,0.001399981,0.0003766435,0.3646857,0.05933964,0.2695417,0.3028228,0.000204677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001507363,0.00009413915,0.9921671,0.0001418773,0.00003371228,0.0001770458,0.00009277658,0.003063535,0.002722563],"genre_scores_gemma":[0.03040151,0.0003367031,0.9644859,0.0002076735,0.00003622213,0.0002879309,0.0007246299,0.0004311097,0.00308838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006002907,"threshold_uncertainty_score":0.03174675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349592121465099,"score_gpt":0.2597580774123783,"score_spread":0.2462621561977273,"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."}}