{"id":"W2106961328","doi":"10.1109/iri.2011.6009601","title":"Model based analysis of internet filtering systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Correctness; Computer science; The Internet; Variety (cybernetics); Perspective (graphical); Set (abstract data type); Vulnerability (computing); Computer security; Attack patterns; Data mining; Software engineering; Intrusion detection system; Artificial intelligence; World Wide Web; Algorithm","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":[0.0004223338,0.00006360186,0.000232592,0.0004571648,0.0000159489,0.00004459998,0.0007771459,0.00003271901,0.0001217619],"category_scores_gemma":[0.00004404498,0.0000501605,0.0001894392,0.001327154,0.0000313371,0.0001647499,0.0001732362,0.00005229349,0.0000122437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895185,"about_ca_system_score_gemma":0.00003617643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000967785,"about_ca_topic_score_gemma":0.00003500643,"domain_scores_codex":[0.9990416,0.00005569087,0.0002375564,0.0002433364,0.000273023,0.000148856],"domain_scores_gemma":[0.9990693,0.0000856562,0.00005074001,0.000606389,0.0001235213,0.00006439115],"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":[0.00003179725,0.0007266309,0.1042254,0.0002768415,0.003328143,0.00001729797,0.003464464,0.7286801,0.002695165,0.1406879,0.0006067477,0.0152595],"study_design_scores_gemma":[0.00004374946,0.0000187411,0.001525625,0.000006707166,0.00005458014,1.332818e-7,0.00001267146,0.9959131,0.002207403,0.0001482739,0.00001243814,0.00005658818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03515125,0.00002185615,0.9609982,0.00001580574,0.0000205837,0.00003810728,0.000001593047,0.00006915638,0.003683402],"genre_scores_gemma":[0.9478455,0.00000193366,0.05164788,0.00002326455,0.000002455692,0.000006334484,0.00000153049,0.000002138477,0.0004689835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9126942,"threshold_uncertainty_score":0.2045486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08747088800441173,"score_gpt":0.2857716920213697,"score_spread":0.198300804016958,"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."}}