{"id":"W1528987358","doi":"10.1007/11555223_16","title":"Environmentally-Aware Security Enforcement (EASE) for Cooperative Design and Engineering","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Context (archaeology); Enforcement; Computer security; Domain (mathematical analysis); Security engineering; Security policy; Software security assurance; Work (physics); Usability; Information security; Security service; Software engineering; Engineering management; Human–computer interaction; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008745681,0.0004643654,0.0003867481,0.0003625712,0.0003431447,0.0004838991,0.001507468,0.000230975,0.0000229066],"category_scores_gemma":[0.00005680034,0.0004741446,0.00008050581,0.0002061825,0.0003049302,0.0005124896,0.0008186765,0.0004620652,0.000009487894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695512,"about_ca_system_score_gemma":0.0002290211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005529284,"about_ca_topic_score_gemma":0.000004394232,"domain_scores_codex":[0.9971669,0.0000271276,0.0004525874,0.001301611,0.000527707,0.0005241047],"domain_scores_gemma":[0.9980232,0.0007770513,0.000197053,0.0007235244,0.0001057176,0.00017347],"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":[0.00001533936,0.00005791303,0.000009287925,0.0001085521,0.00003451726,0.00001925617,0.004428148,0.4996668,0.0002460902,0.1306566,0.00004673435,0.3647108],"study_design_scores_gemma":[0.0003158487,0.0001691107,0.000011313,0.0001814249,0.00000720279,0.00003158409,5.316786e-7,0.9785296,0.002276848,0.01398875,0.003953379,0.0005343689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005810367,0.000476668,0.99724,0.0003585725,0.0006375753,0.0008932079,0.000007698006,0.000122079,0.0002061117],"genre_scores_gemma":[0.3054074,0.00008157529,0.6928375,0.0009977533,0.0004954999,0.00004577313,0.00001017152,0.000033596,0.00009070985],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4788629,"threshold_uncertainty_score":0.999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184225930346783,"score_gpt":0.2340332033392994,"score_spread":0.2156106103046211,"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."}}