{"id":"W2056228908","doi":"10.1364/oshs.2005.fb2","title":"Automation to Support Risk Assessment and Management at DHS","year":2005,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homeland security; Portfolio; Prosperity; Risk management; Vulnerability (computing); General partnership; Automation; Risk analysis (engineering); Engineering management; Threat; Process management; Computer science; Knowledge management; Business; Engineering; Information security; Computer security; Political science; Economics; Finance; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189014,0.00005168639,0.00004323652,0.00006099758,0.0001011223,0.0001229795,0.0001639972,0.00001475893,0.0001943044],"category_scores_gemma":[0.000001206073,0.0000447507,0.00001315087,0.00009477638,0.000004644241,0.0005905963,0.0002732564,0.00002745941,0.0005680858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008132125,"about_ca_system_score_gemma":0.000008910349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006837755,"about_ca_topic_score_gemma":0.00004376356,"domain_scores_codex":[0.999459,0.00001348413,0.0001294446,0.0001151728,0.0001740442,0.0001089115],"domain_scores_gemma":[0.9996633,0.000006089333,0.0000342511,0.0002027531,0.00002266954,0.00007096732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001153281,0.00002980515,0.001444607,0.00001088281,0.00000987258,0.000001397062,0.001609255,0.0001257977,0.000006292673,0.5114338,0.04071469,0.4446125],"study_design_scores_gemma":[0.0004383832,0.00008263815,0.2218206,0.000004322552,0.000005653435,0.0000102902,0.00006350348,0.290399,0.0005208309,0.0006909257,0.4857696,0.000194158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04033533,0.000002346195,0.6848563,0.003544449,0.0001001351,0.0002081518,0.000001036249,0.0002161476,0.2707361],"genre_scores_gemma":[0.7460636,0.00002375713,0.2469465,0.003681473,0.00001783525,0.00001685261,0.000003247246,0.000001815764,0.003244993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7057282,"threshold_uncertainty_score":0.7301783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009489966030560003,"score_gpt":0.2740603003198838,"score_spread":0.2645703342893237,"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."}}