{"id":"W4239454488","doi":"10.1007/978-3-642-24606-7_33","title":"Strategic Models for Business Intelligence","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Computer science; Business rule; Business intelligence; Artifact-centric business process model; Knowledge management; Key (lock); Business process modeling; Semantics of Business Vocabulary and Business Rules; Management science; Process management; Business process; Business; Computer security; Engineering","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":[0.001105653,0.0006279679,0.0006292112,0.0007416082,0.0001788419,0.0002997828,0.004703039,0.0003745534,0.000006444608],"category_scores_gemma":[0.0003091421,0.0005830685,0.0001312224,0.0007281366,0.0006215459,0.0009991152,0.00119528,0.0006285239,0.00001477796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313479,"about_ca_system_score_gemma":0.0005542767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001173333,"about_ca_topic_score_gemma":0.0000147178,"domain_scores_codex":[0.9963848,0.00002755431,0.0005394837,0.001687558,0.0005608126,0.0007997802],"domain_scores_gemma":[0.9958815,0.001513694,0.000262625,0.001631167,0.0005661857,0.0001448494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003512781,0.000007222256,3.120731e-7,0.0000426063,0.000004367828,0.00001434955,0.0002040172,0.5465267,0.00001891682,0.1774361,0.000001191528,0.2757407],"study_design_scores_gemma":[0.0000512661,0.00007193271,0.000002751988,0.0001557763,0.000003625643,0.00002442487,8.240816e-8,0.352811,0.0007256419,0.6456364,0.00007563525,0.0004414296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003074428,0.0006690637,0.9940339,0.0001222679,0.002580219,0.0005327674,0.0000063014,0.0005187489,0.001533712],"genre_scores_gemma":[0.00976792,0.0001076457,0.9892837,0.0002557751,0.0002572966,0.00003297254,0.000003093322,0.00005044596,0.0002411879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4682003,"threshold_uncertainty_score":0.9996621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235302317894343,"score_gpt":0.2997110989033805,"score_spread":0.1761808671139462,"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."}}