{"id":"W7098170210","doi":"","title":"NERC Cyber Security Standards: Risk Based Methodology","year":2009,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Asset (computer security); Blackout; Reliability (semiconductor); Preparedness; Critical infrastructure; Government (linguistics); Cyber-attack; Key (lock); Denial-of-service attack","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":[0.04686942,0.00226015,0.001300053,0.01165769,0.002539787,0.01321867,0.007448972,0.006931483,0.01335012],"category_scores_gemma":[0.07226685,0.001689242,0.002168761,0.006796827,0.004738062,0.008269603,0.005729228,0.005287146,0.01051274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141303,"about_ca_system_score_gemma":0.02949143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03158429,"about_ca_topic_score_gemma":0.02356173,"domain_scores_codex":[0.9470467,0.01512282,0.007768922,0.002027058,0.02669994,0.001334606],"domain_scores_gemma":[0.9105905,0.02452927,0.005108217,0.01194336,0.04687279,0.0009558588],"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":[0.00004344313,0.0002256881,0.001538131,0.001474496,0.00004982604,0.0003231819,0.001037111,0.03356265,0.001576681,0.7155735,0.09405604,0.1505391],"study_design_scores_gemma":[0.00005159697,0.00008657438,0.001831075,0.003089128,0.00004640104,0.0004141012,0.0007538265,0.04816006,0.0032851,0.2602684,0.6818412,0.0001725123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001916125,0.001670888,0.8349567,0.005428468,0.0005188708,0.004257273,0.003281557,0.003773057,0.1441971],"genre_scores_gemma":[0.02862852,0.002520033,0.9294106,0.001619396,0.000305234,0.004563844,0.007243283,0.001036506,0.02467252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04686942,"threshold_uncertainty_score":0.2478721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580972630654747,"score_gpt":0.32649486796538,"score_spread":0.2906851416588325,"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."}}