{"id":"W2093819105","doi":"10.1016/j.jlp.2011.05.011","title":"Application of social network theory to prioritizing Oil & Gas industries protection in a networked critical infrastructure system","year":2011,"lang":"en","type":"article","venue":"Journal of Loss Prevention in the Process Industries","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Interdependence; Critical infrastructure; Electricity; Cascading failure; Critical infrastructure protection; Business; Key (lock); Fossil fuel; Process (computing); Computer security; Risk analysis (engineering); Environmental economics; Engineering; Computer science; Electric power system; Economics; Power (physics); Waste management","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":[],"consensus_categories":[],"category_scores_codex":[0.00205287,0.0001673162,0.0003809341,0.0002883135,0.0001256736,0.00004286081,0.0003559558,0.0003151145,0.00001749565],"category_scores_gemma":[0.0003876666,0.0001314308,0.0000859031,0.001619257,0.0001536657,0.00040997,0.00002617003,0.001004411,9.849165e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649901,"about_ca_system_score_gemma":0.0001307465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001423657,"about_ca_topic_score_gemma":0.00004608384,"domain_scores_codex":[0.9979564,0.0003486458,0.0009257237,0.0001322381,0.0003643722,0.0002726481],"domain_scores_gemma":[0.9990966,0.0001166687,0.0003079255,0.0001468327,0.0002874323,0.0000445757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001043849,0.0002389281,0.04769829,0.002180601,0.0002432466,0.00002137578,0.03826096,0.578027,0.0005468014,0.01874613,0.0003585917,0.3126342],"study_design_scores_gemma":[0.005754066,0.001530003,0.3045399,0.01139161,0.001472789,0.001511103,0.1477519,0.02457611,0.01756155,0.4753781,0.005663046,0.002869854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883606,0.0002033026,0.1150721,0.0001815391,0.0002105053,0.0002728466,0.000003557081,0.00002897053,0.0004212044],"genre_scores_gemma":[0.9989139,0.00001339322,0.0005670012,0.00001136085,0.0004067449,0.00006229131,0.000001856123,0.00001391297,0.000009561853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5534509,"threshold_uncertainty_score":0.5359594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914418298701557,"score_gpt":0.277442146596357,"score_spread":0.2582979636093414,"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."}}