{"id":"W3154577825","doi":"10.1007/s00766-021-00349-1","title":"A Game-theoretic approach to analyze interacting actors in GRL goal models","year":2021,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"King Fahd University of Petroleum and Minerals","keywords":"Operationalization; Computer science; Game theory; Nash equilibrium; Requirements engineering; Stochastic game; Goal modeling; Perspective (graphical); Management science; Mathematical optimization; Mathematical economics; Engineering; Artificial intelligence; Software; Mathematics","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":[0.004680691,0.001878805,0.001490926,0.002442134,0.001612703,0.004056946,0.00359912,0.002243833,0.005765457],"category_scores_gemma":[0.01157955,0.001407582,0.002695292,0.001655089,0.004752727,0.004664034,0.003205825,0.003230317,0.0005783808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005799606,"about_ca_system_score_gemma":0.004445583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555366,"about_ca_topic_score_gemma":0.01328615,"domain_scores_codex":[0.9962071,0.002304044,0.0001161281,0.000359225,0.0005390855,0.0004743635],"domain_scores_gemma":[0.9915228,0.006750627,0.0004871129,0.0002869054,0.0004964118,0.0004561284],"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":[0.00003041455,0.00007678537,0.0004118129,0.00007658375,0.00004954247,0.0001053606,0.0003127459,0.3593962,0.0005602429,0.6337511,0.0006792425,0.004549921],"study_design_scores_gemma":[0.00001523407,0.00003047233,0.00007198312,0.00002107579,0.00002282342,0.00001777858,0.0001232099,0.7706897,0.0001532445,0.2277019,0.001137537,0.00001505417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01209374,0.00008925848,0.9768486,0.0006572598,0.00002152582,0.0001581784,0.0000877354,0.00007925084,0.009964428],"genre_scores_gemma":[0.61472,0.0003933627,0.3716776,0.0003603478,0.00008610835,0.0007184751,0.0002016443,0.0001461234,0.0116963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01555366,"threshold_uncertainty_score":0.04207927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05365581364871434,"score_gpt":0.3040700666741221,"score_spread":0.2504142530254078,"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."}}