{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002691745,0.00007143478,0.0001273362,0.00006287565,0.00001196757,0.000008639258,0.0001509171,0.0000417856,0.0006727669],"category_scores_gemma":[0.000007959724,0.00007265609,0.00009045011,0.0001230324,0.00002775646,0.0001180185,0.000003583962,0.000155851,0.000005320991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001864108,"about_ca_system_score_gemma":0.0000102754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008320896,"about_ca_topic_score_gemma":0.0000107424,"domain_scores_codex":[0.9995645,0.000007273275,0.0001695254,0.0000737879,0.00009619064,0.00008867345],"domain_scores_gemma":[0.9996722,0.00003410236,0.00002461618,0.0002016601,0.00004713825,0.0000203083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009754636,0.00040719,0.0007208898,0.001410703,0.001541334,0.00003831075,0.02009343,0.07415592,0.6213599,0.009492957,0.007491376,0.2631905],"study_design_scores_gemma":[0.0002512278,0.00006918619,0.0001143218,0.00009144057,0.00002956798,0.00002074961,0.0001755178,0.006902295,0.9876087,0.00318037,0.001469994,0.00008662179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7476539,0.0003544888,0.2455475,0.0001057942,0.0004088983,0.00004696648,0.00001501726,0.00009834595,0.005769101],"genre_scores_gemma":[0.9938115,0.00005927048,0.004864166,0.0000498282,0.00001073246,0.000001899856,0.000002399662,0.00001307973,0.001187116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3662488,"threshold_uncertainty_score":0.7366326,"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."}}