{"id":"W3149152309","doi":"10.1145/3437258","title":"A Tale of Two Entities","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Internet of Things","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Thales (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blackout; Software deployment; Computer security; Adversary; Resilience (materials science); Computer science; Exploit; Smart grid; Electric power system; Bottleneck; Electric vehicle; Grid; Power (physics); Telecommunications; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002702154,0.0009464438,0.000585034,0.001205477,0.007458963,0.01047908,0.002630927,0.005007689,0.08181621],"category_scores_gemma":[0.006808776,0.0006224182,0.0006224327,0.001235278,0.006940436,0.01266715,0.0167897,0.005506583,0.0311584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997946,"about_ca_system_score_gemma":0.004443102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00631158,"about_ca_topic_score_gemma":0.003518192,"domain_scores_codex":[0.9947667,0.001851536,0.000225909,0.001048085,0.001173738,0.0009340489],"domain_scores_gemma":[0.9957044,0.0004549721,0.0002488177,0.0008397101,0.0009874916,0.001764788],"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":[0.0001554029,0.0001710205,0.002157798,0.0002686874,0.00006108442,0.001592807,0.008718903,0.0007253176,0.002272628,0.7069091,0.1898575,0.08710974],"study_design_scores_gemma":[0.00001647044,0.00004864483,0.0004051319,0.0001694507,0.00001976003,0.0005609523,0.003821038,0.0007802757,0.0003637159,0.05200076,0.9417728,0.0000411257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0172431,0.003193754,0.1091702,0.09892055,0.006651189,0.0006287132,0.0004349548,0.00193226,0.7618253],"genre_scores_gemma":[0.2808565,0.002647016,0.05164033,0.03131744,0.001779806,0.0006400522,0.0009649057,0.0006652577,0.6294887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08181621,"threshold_uncertainty_score":0.2737025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00611060190938117,"score_gpt":0.2110797041702034,"score_spread":0.2049691022608222,"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."}}