{"id":"W7008686967","doi":"","title":"Critical Infrastructure Protection: DHS Efforts to Assess Chemical Security Risk and Gather Feedback on Facility Outreach Can Be Strengthened","year":2013,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Homeland security; Risk assessment; Accountability; Government (linguistics); Outreach; Risk management; Vulnerability (computing); Critical infrastructure; Plan (archaeology); Critical infrastructure protection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001170508,0.0007377038,0.001268479,0.0005818481,0.0002935373,0.0001159879,0.0009549631,0.000613239,0.001003367],"category_scores_gemma":[0.0001601332,0.0008890728,0.0005498315,0.0008029616,0.0008615978,0.00166911,0.0006470209,0.001323379,0.00004443494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147276,"about_ca_system_score_gemma":0.0004242071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155246,"about_ca_topic_score_gemma":0.001540538,"domain_scores_codex":[0.9968831,0.0001089255,0.0004308907,0.0009829723,0.0009980418,0.0005960671],"domain_scores_gemma":[0.9975696,0.0002127558,0.0003256667,0.0008708119,0.00041045,0.0006107137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000218976,0.0001886858,0.9545007,0.001118311,0.0005784591,0.0000904029,0.000211008,0.004802765,7.401814e-7,0.00002152284,0.007309534,0.03095888],"study_design_scores_gemma":[0.0005459119,0.0002614954,0.9478995,0.0001733685,0.0004134727,0.00002145183,0.0001403542,0.0008242304,0.00006136367,0.0001760316,0.04854609,0.0009367513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794923,0.00004329493,0.0007465131,0.0001492234,0.0001447854,0.0007017346,0.01092437,0.0002670893,0.007530713],"genre_scores_gemma":[0.9967012,0.0002823123,0.00049942,0.00001914877,0.00008007065,2.108522e-7,0.001260683,0.00004540038,0.001111494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04123656,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107735509162017,"score_gpt":0.1886882105374436,"score_spread":0.1779146596212419,"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."}}