{"id":"W2043677144","doi":"10.1109/giis.2014.6934272","title":"Constraint-based configuration complexity model for autonomic network configuration management","year":2014,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Downtime; Computer science; Reliability (semiconductor); Consistency (knowledge bases); Distributed computing; Constraint (computer-aided design); Configuration Management (ITSM); Network management; Complexity management; Reliability engineering; Computer network; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003655845,0.0001826456,0.0001831447,0.00007614566,0.0002498403,0.0002060409,0.0005875992,0.00006136167,0.00003516875],"category_scores_gemma":[0.000002759283,0.0001657419,0.0000816798,0.0001633076,0.00005237955,0.0002546032,0.00006175093,0.0000688309,0.00003961812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003278494,"about_ca_system_score_gemma":0.00005668093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003296824,"about_ca_topic_score_gemma":0.0002045867,"domain_scores_codex":[0.9986675,0.00006140915,0.0003147118,0.0004469218,0.0001729401,0.0003365197],"domain_scores_gemma":[0.9990134,0.000136642,0.0001361162,0.0005089655,0.0001109743,0.00009385686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000147805,0.00002429065,0.00001366002,0.00003519829,0.00001701889,2.140964e-7,0.0001443337,0.1779871,0.0001786404,0.8048561,0.0006140718,0.01611459],"study_design_scores_gemma":[0.000779105,0.00006559103,0.0002693318,0.00001801607,0.0000140725,8.535284e-7,0.00002546266,0.9358993,0.001357157,0.05407335,0.00729892,0.0001987957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001047108,0.000006826454,0.9602368,0.00309145,0.000290222,0.0006263943,0.000004745854,0.0003268629,0.03436958],"genre_scores_gemma":[0.7515489,7.320741e-7,0.2399618,0.008029872,0.0001072727,0.00007571941,0.00008325647,0.000008907677,0.0001834322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7579123,"threshold_uncertainty_score":0.675876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493040794193285,"score_gpt":0.2443159003138149,"score_spread":0.219385492371882,"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."}}