{"id":"W2154347951","doi":"10.5267/j.msl.2012.08.005","title":"Performance evaluation of enterprise architecture with a formal fuzzy model (FPN)","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Architecture; Fuzzy logic; Process management; Enterprise architecture; Knowledge management; Business; Software engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533395,0.0004061454,0.0002829762,0.001188976,0.0005374725,0.001602644,0.0006838878,0.0007551482,0.001633505],"category_scores_gemma":[0.002931444,0.000145438,0.0006959182,0.0006011322,0.0006026211,0.001377411,0.0004767855,0.0003604696,0.0001116797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003097658,"about_ca_system_score_gemma":0.001417569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188708,"about_ca_topic_score_gemma":0.01021001,"domain_scores_codex":[0.9990338,0.0003265409,0.00006533939,0.0001279757,0.0003444747,0.0001018656],"domain_scores_gemma":[0.9991493,0.0003932015,0.0001329906,0.0000687443,0.0002238971,0.0000317188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001063158,0.00006926323,0.003957197,0.00007363629,0.00004463031,0.0001436449,0.0001915778,0.8915145,0.003353803,0.07069166,0.0004629138,0.02939081],"study_design_scores_gemma":[0.000005016912,0.00003392281,0.0004116496,0.000008903105,0.00001014399,0.00001653223,0.00002686826,0.9921517,0.0005425181,0.006513391,0.0002732389,0.000006158585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2410492,0.0002175869,0.7427421,0.0003425105,0.00003729445,0.0001052749,0.0002289644,0.0004090737,0.01486808],"genre_scores_gemma":[0.9604074,0.00006720144,0.0383434,0.00001310026,0.000006885634,0.0000535025,0.00008157401,0.00000887926,0.001018162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0188708,"threshold_uncertainty_score":0.0375219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316433848927691,"score_gpt":0.2175768113414513,"score_spread":0.2044124728521744,"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."}}