{"id":"W2888794105","doi":"","title":"High Performance Tor Experimentation from the Magic of Dynamic ELFs","year":2018,"lang":"en","type":"article","venue":"USENIX Security Symposium","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":[0.0002484703,0.000158705,0.0002029611,0.00005026364,0.0001495689,0.0001201619,0.0009411427,0.00006578933,0.00009736572],"category_scores_gemma":[0.00001199965,0.0001165113,0.0000998002,0.0002498194,0.000129329,0.0003771473,0.0002029525,0.0001363013,0.0001191603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005199171,"about_ca_system_score_gemma":0.00003404608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000285733,"about_ca_topic_score_gemma":0.0001828964,"domain_scores_codex":[0.9985878,0.00009920856,0.000353648,0.0003659098,0.0003509407,0.0002424576],"domain_scores_gemma":[0.99907,0.0001038449,0.000194501,0.0004308268,0.0001534506,0.00004739852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001953574,0.0009777765,0.004605718,0.0001161231,0.0007850193,0.00003084925,0.3059579,0.001680099,0.109035,0.5549691,0.009118915,0.01252809],"study_design_scores_gemma":[0.0003314187,0.0001916367,0.00190704,0.00004482527,0.00003282826,0.000005745355,0.0003942364,0.96336,0.03246978,0.0001373893,0.0009089645,0.000216126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669229,0.0001010106,0.03074342,0.0008350326,0.0007710246,0.0001193415,0.00000815104,0.00007910481,0.0004200465],"genre_scores_gemma":[0.9967687,0.00002184073,0.002495334,0.0002912697,0.0002744792,0.00000502266,0.00001529526,0.00001005607,0.0001179611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9616799,"threshold_uncertainty_score":0.4751191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417475882633779,"score_gpt":0.229144810591898,"score_spread":0.2227273347092642,"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."}}