{"id":"W2999194058","doi":"10.1177/0020702019895263","title":"Passwords, pistols, and power plants: An assessment of physical and digital threats targeting Canada’s energy sector","year":2019,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Energy sector; Nexus (standard); Suite; Energy security; Terrorism; Business; Public relations; Political science; Computer security; Environmental economics; Engineering; Economics; Renewable energy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813971,0.0004068456,0.0002707994,0.005627465,0.01039378,0.004889128,0.001374314,0.001076464,0.002984348],"category_scores_gemma":[0.01019152,0.0002747434,0.000417845,0.009796009,0.004366638,0.002359553,0.002857725,0.001501571,0.0002995207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07003067,"about_ca_system_score_gemma":0.09946898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895042,"about_ca_topic_score_gemma":0.9943473,"domain_scores_codex":[0.9951274,0.0004695474,0.0001438081,0.0001532366,0.002982309,0.001123654],"domain_scores_gemma":[0.9881357,0.002014082,0.001502847,0.0003459168,0.006065048,0.001936451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002941628,0.0002347029,0.7937699,0.0004278927,0.00005962424,0.001194086,0.05008956,0.002792467,0.00104975,0.02276864,0.01638637,0.1109327],"study_design_scores_gemma":[0.00001173076,0.0001218707,0.7631537,0.0002519165,0.00004434123,0.0003573908,0.1825675,0.002887215,0.0006209743,0.001332622,0.04857889,0.00007183885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916195,0.001459549,0.0007183875,0.005933696,0.00003438697,0.0002354623,0.001106309,0.00003960782,0.07427759],"genre_scores_gemma":[0.9930332,0.00133743,0.0003703179,0.0004563057,0.000006767554,0.00002053183,0.0003469182,0.000008495915,0.00441999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07003067,"threshold_uncertainty_score":0.5081104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004664760834456828,"score_gpt":0.2712291177592457,"score_spread":0.2665643569247889,"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."}}