{"id":"W2890128393","doi":"10.1145/3372802","title":"The Sorry State of TLS Security in Enterprise Interception Appliances","year":2020,"lang":"en","type":"preprint","venue":"Digital Threats Research and Practice","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Transport Layer Security; Downgrade; Network security; Malware; Web application security; Man-in-the-middle attack; Encryption; Computer network; Database; World Wide Web; Web service; Web development","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002207031,0.0001650001,0.0002305611,0.0001412459,0.0001891014,0.001563663,0.0009386342,0.0001117448,0.00000442143],"category_scores_gemma":[0.001200677,0.0001266987,0.00005964489,0.0004978681,0.0003081468,0.001786825,0.002731491,0.001566967,0.00003370554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006346097,"about_ca_system_score_gemma":0.0001489639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001310002,"about_ca_topic_score_gemma":0.0001002629,"domain_scores_codex":[0.9974059,0.0005481223,0.000384148,0.0005726042,0.000721992,0.0003672104],"domain_scores_gemma":[0.9961606,0.002610701,0.0002215449,0.0005319766,0.0003343697,0.0001408495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009994428,0.0002234262,0.0001209284,0.0002005977,0.00005174415,0.00004753224,0.005231527,0.00003969735,0.0000664517,0.005400782,0.0009241015,0.9866937],"study_design_scores_gemma":[0.0004309161,0.0009480109,0.0006023044,0.0005266991,0.000006276247,0.00005155409,0.0009825417,0.02785238,0.0006480968,0.9062786,0.06132659,0.0003460774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4747111,0.04828523,0.1614007,0.07234838,0.003822068,0.007868784,0.0003987034,0.0006157475,0.2305492],"genre_scores_gemma":[0.9814879,0.01780258,0.0003277016,0.00006279834,0.00009689088,0.00005187305,0.000009918196,0.000008901253,0.0001514669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9863477,"threshold_uncertainty_score":0.9994728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0965448298557313,"score_gpt":0.3915280326285037,"score_spread":0.2949832027727724,"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."}}