{"id":"W644776441","doi":"10.21236/ada614972","title":"Establishing and Maintaining Trust for an Airborne Network. Search and Rescue Enterprise: Security Assessment Report","year":2014,"lang":"en","type":"report","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Enterprise information security architecture; Unified Modeling Language; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007203681,0.0003500508,0.0001342667,0.001842572,0.001595653,0.002328931,0.0004966927,0.0006099293,0.00351739],"category_scores_gemma":[0.01236954,0.0001723622,0.0002024718,0.000858532,0.0004733983,0.002111333,0.001499454,0.000760004,0.0008266451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005067434,"about_ca_system_score_gemma":0.006113022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02739238,"about_ca_topic_score_gemma":0.02699987,"domain_scores_codex":[0.9939773,0.001331098,0.0003846324,0.0002632769,0.003595176,0.0004484902],"domain_scores_gemma":[0.9810528,0.003595185,0.001706833,0.001010626,0.01172056,0.0009140227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004991367,0.001101352,0.2799423,0.0008307858,0.00009741093,0.001748003,0.01425495,0.01935357,0.01758262,0.03366948,0.05634657,0.5745739],"study_design_scores_gemma":[0.0001321659,0.003165517,0.4119498,0.0009167565,0.0002772992,0.002706716,0.03790227,0.0910884,0.08867471,0.01330447,0.3496341,0.0002477425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7448218,0.0005257786,0.03757963,0.005246891,0.0001051371,0.002711965,0.002352423,0.0007799231,0.2058765],"genre_scores_gemma":[0.9574447,0.0004252467,0.0231644,0.00009410522,0.00002442574,0.0002774196,0.001956168,0.00004196574,0.01657146],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02739238,"threshold_uncertainty_score":0.05446589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109197345736038,"score_gpt":0.3325574865901926,"score_spread":0.3014655131328322,"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."}}