{"id":"W2810719324","doi":"10.1145/3167132.3167137","title":"Ordering stakeholder viewpoint concerns for holistic enterprise architecture","year":2018,"lang":"en","type":"article","venue":"","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Government of Ontario","funders":"","keywords":"Enterprise architecture; Computer science; Enterprise architecture framework; Viewpoints; Context (archaeology); Knowledge management; Enterprise architecture management; Architecture; Focus (optics); Stakeholder; Process management; Engineering; Software architecture; Political science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.00009863025,0.00011447,0.0001177657,0.00009949206,0.0001621825,0.0001346435,0.0001797245,0.00006602502,0.0005910741],"category_scores_gemma":[0.00007126728,0.00009274611,0.00004679457,0.0001490111,0.0000877254,0.000521193,0.00006387202,0.0000789659,0.0003857213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433941,"about_ca_system_score_gemma":0.00001292246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008741365,"about_ca_topic_score_gemma":0.0001457645,"domain_scores_codex":[0.9993359,0.00000102234,0.0001972799,0.0001354499,0.00009362972,0.0002366701],"domain_scores_gemma":[0.9995356,0.00001292497,0.0001314109,0.0001654338,0.000149113,0.000005585487],"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":[0.0001240788,0.00005543152,0.001743376,0.0003504974,0.00005353771,0.000003945709,0.0002691276,0.00007117634,0.0006217675,0.8321413,0.08455754,0.08000827],"study_design_scores_gemma":[0.0009803779,0.00004313315,0.001384932,0.00004799589,0.0000288674,0.000003321502,0.0004886549,0.005477114,0.0009764338,0.03084165,0.9594128,0.0003147271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2550971,0.0000582473,0.4331366,0.004615918,0.001214553,0.0009253719,0.00001730342,0.0008907778,0.3040441],"genre_scores_gemma":[0.9898094,0.000003268857,0.0008937577,0.006828155,0.001124161,0.00004083715,0.00001591646,0.0000137908,0.001270716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8748552,"threshold_uncertainty_score":0.6471847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0580749445237208,"score_gpt":0.2678542823507717,"score_spread":0.2097793378270509,"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."}}