{"id":"W2805984568","doi":"10.1145/3196494.3196528","title":"To Intercept or Not to Intercept","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Cisco Systems","keywords":"Computer science; Computer security; Server; Malware; Certificate; Network security; Phishing; Proxy (statistics); Web server; Proxy server; Computer network; The Internet; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001363689,0.000138371,0.0001330496,0.0002403657,0.00007258895,0.0001172378,0.001122816,0.00004618352,0.0008163368],"category_scores_gemma":[0.0001501941,0.0001077449,0.00004001198,0.0006300672,0.00003491079,0.0004012754,0.0009952993,0.00008706164,0.003019808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009374181,"about_ca_system_score_gemma":0.00002194632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003602864,"about_ca_topic_score_gemma":0.0002172964,"domain_scores_codex":[0.9988301,0.00002455716,0.0002053642,0.0004796171,0.000180476,0.0002799132],"domain_scores_gemma":[0.9987903,0.00004086018,0.00002918325,0.0007559807,0.0001740547,0.0002096057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000128203,0.00004294958,0.00001260745,0.000005163595,0.000007564526,0.00001113846,0.004202144,0.00000550283,0.03756142,0.006398582,0.09275523,0.8588695],"study_design_scores_gemma":[0.0001090626,0.001911708,0.0004486873,0.00003620176,0.000001340595,0.0000325977,0.0001563261,0.001085276,0.7417681,0.001056545,0.2530518,0.0003423669],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009667296,3.696866e-7,0.9789287,0.001979277,0.0005356056,0.0002681685,9.697851e-7,0.001558876,0.007060685],"genre_scores_gemma":[0.500895,4.577907e-7,0.4802631,0.01014253,0.0001156058,0.00003338712,1.103584e-7,0.00001020266,0.008539624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8585271,"threshold_uncertainty_score":0.9977565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880126072294557,"score_gpt":0.3423075835924357,"score_spread":0.3135063228694902,"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."}}