{"id":"W1993096055","doi":"10.1109/ssiri.2009.25","title":"Checking Service Instance Protection for AMF Configurations","year":2009,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Redundancy (engineering); Computer science; Provisioning; Distributed computing; Service (business); Configuration Management (ITSM); High availability; Reliability engineering; Software engineering; Computer network; Operating system; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01857963,0.001634684,0.002678026,0.003544916,0.003242732,0.00750642,0.005574906,0.00618535,0.005182165],"category_scores_gemma":[0.1936347,0.003087946,0.004830017,0.003263104,0.007338823,0.01920786,0.007903264,0.005585272,0.0009430436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004834358,"about_ca_system_score_gemma":0.005029265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006402046,"about_ca_topic_score_gemma":0.003603117,"domain_scores_codex":[0.959688,0.009262244,0.003610476,0.008099421,0.01339339,0.00594653],"domain_scores_gemma":[0.785682,0.1445677,0.01718452,0.04017816,0.009511272,0.0028764],"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":[0.002626812,0.0008201601,0.07125658,0.001109017,0.001023637,0.006145019,0.003423623,0.4738203,0.02433044,0.3052535,0.008690351,0.1015006],"study_design_scores_gemma":[0.0002664635,0.0003108371,0.004125591,0.0001859667,0.0002456303,0.002089773,0.0008020077,0.698018,0.02141201,0.2674106,0.004985322,0.0001478746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4505753,0.0004273813,0.5265747,0.00251967,0.0001979982,0.0005031117,0.001255571,0.006996358,0.01094991],"genre_scores_gemma":[0.8976794,0.0001766575,0.09808213,0.0004578682,0.000114061,0.0002439273,0.001588102,0.0005762443,0.001081577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01857963,"threshold_uncertainty_score":0.09825969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308851947240336,"score_gpt":0.249537502531103,"score_spread":0.2264489830586996,"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."}}