{"id":"W135518049","doi":"10.1007/978-3-319-07869-4_10","title":"Modeling Enterprise Capabilities with i*: Reasoning on Alternatives","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Orchestration; Software deployment; Computer science; Enterprise modelling; Dynamic capabilities; Knowledge management; Process management; Enterprise integration; Systems engineering; Management science; Enterprise software; Engineering; Software 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001902373,0.0009928837,0.0006119107,0.001397358,0.0005494666,0.004566287,0.002447453,0.001131373,0.008549745],"category_scores_gemma":[0.009166119,0.0009946276,0.002470116,0.001731053,0.001646328,0.008236043,0.002711467,0.002151548,0.0009084516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024786,"about_ca_system_score_gemma":0.0009700787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044088,"about_ca_topic_score_gemma":0.009493606,"domain_scores_codex":[0.998669,0.0005694898,0.0001491085,0.0002314873,0.0002634351,0.0001175287],"domain_scores_gemma":[0.9957224,0.0033632,0.0002718554,0.0003298714,0.0001884127,0.000124288],"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":[0.0001756319,0.0001474571,0.002875246,0.0003542461,0.0001719953,0.0004979827,0.0004909658,0.4884773,0.0007686321,0.4296455,0.005531774,0.07086322],"study_design_scores_gemma":[0.00001945973,0.00001838455,0.0001144543,0.00006428453,0.00004802252,0.00008270742,0.0001911422,0.7389769,0.0008317292,0.2547114,0.004923924,0.00001765902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0499201,0.0006233378,0.9122824,0.001579205,0.0000913738,0.0001397961,0.001561649,0.001686174,0.03211595],"genre_scores_gemma":[0.5378727,0.0006338909,0.4543249,0.0002077224,0.00005805173,0.0001655877,0.001888021,0.0002118187,0.004637338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044088,"threshold_uncertainty_score":0.02860177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333868553007833,"score_gpt":0.2018595931180765,"score_spread":0.1935257245650687,"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."}}