{"id":"W4387331371","doi":"10.1109/tnsm.2023.3318406","title":"EV Charging Infrastructure Discovery to Contextualize Its Deployment Security","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Concordia University","keywords":"Software deployment; Computer science; Computer security; Computer network; Telecommunications","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":[0.001293683,0.000330822,0.0002558061,0.001678642,0.0004672229,0.001370906,0.0004352495,0.0005312056,0.001053036],"category_scores_gemma":[0.007918207,0.0002426524,0.000230871,0.00102767,0.000475299,0.002640049,0.001602968,0.0008071705,0.0004086418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880341,"about_ca_system_score_gemma":0.0005868831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375841,"about_ca_topic_score_gemma":0.004138158,"domain_scores_codex":[0.9986082,0.0003699873,0.0001197904,0.0002576727,0.0004216037,0.0002227952],"domain_scores_gemma":[0.9944661,0.002447526,0.0008955615,0.001256023,0.0007568294,0.0001779635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005524498,0.0003113121,0.6574124,0.0006005845,0.0002261091,0.002836813,0.005345708,0.04053563,0.04622998,0.01933009,0.009075577,0.2175435],"study_design_scores_gemma":[0.0000349922,0.0006025953,0.4803199,0.0003879003,0.000283384,0.004143978,0.01280285,0.3351955,0.0570569,0.02399137,0.08495952,0.0002212193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362662,0.0005598342,0.0471549,0.0008116636,0.00008791665,0.0001506075,0.001217068,0.001194932,0.01255682],"genre_scores_gemma":[0.9879619,0.0001571316,0.0102232,0.00006463678,0.00001241735,0.00002802516,0.0007163607,0.00005188191,0.0007844783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375841,"threshold_uncertainty_score":0.006841779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603467153867251,"score_gpt":0.2633256093392856,"score_spread":0.2472909378006131,"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."}}