{"id":"W2750628123","doi":"10.1002/j.2334-5837.2017.00370.x","title":"Systems Security Engineering: What Every System Engineer Needs to Know","year":2017,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Information and Cyber Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Engineering management; Trustworthiness; Relevance (law); Perspective (graphical); Engineering; Computer science; Value (mathematics); Engineering ethics; Systems engineering; Computer security; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004005445,0.0002131147,0.0001950973,0.0002391827,0.0002379719,0.003295118,0.002603745,0.0001086284,0.00001053245],"category_scores_gemma":[0.00006270961,0.0002133583,0.0001007975,0.0001336809,0.00001775818,0.004250095,0.0006881309,0.0001864538,0.0005794666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460934,"about_ca_system_score_gemma":0.00004869991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001263403,"about_ca_topic_score_gemma":0.000006122332,"domain_scores_codex":[0.9983912,0.0000176702,0.0003977363,0.0002599009,0.0006371732,0.0002963571],"domain_scores_gemma":[0.9982393,0.0000479627,0.00019285,0.0009426977,0.0003589906,0.0002182411],"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":[0.00001856044,0.00009542976,0.0003517797,0.0001337755,0.0001245716,0.00006839774,0.006967563,0.0104466,0.001012945,0.9730431,0.006059748,0.001677522],"study_design_scores_gemma":[0.0005893956,0.00005870401,0.001282498,0.000567381,0.000009436731,0.0002337401,0.0005338198,0.6854352,0.003014887,0.00009148284,0.307572,0.000611442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429845,0.0007390124,0.5101171,0.0320003,0.100116,0.0019688,0.0001088349,0.002773692,0.1091918],"genre_scores_gemma":[0.9977043,0.00002937618,0.0007604533,0.0003072322,0.0005542729,0.00006699791,0.00001033964,0.00001384277,0.000553211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9729516,"threshold_uncertainty_score":0.9977396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00608534639744141,"score_gpt":0.2211277401790228,"score_spread":0.2150423937815814,"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."}}