{"id":"W2089407899","doi":"10.1145/2790798.2790803","title":"User Agent and Privacy Compromise","year":2008,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Compromise; The Internet; Multitude; World Wide Web; Internet privacy; Encryption; Privacy software; User interface; Computer security; Information privacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02295442,0.001003763,0.001296688,0.002330541,0.005990531,0.01123491,0.002826198,0.01180739,0.007928454],"category_scores_gemma":[0.0618813,0.000736762,0.001751579,0.001972976,0.009061373,0.01972306,0.0102076,0.01036507,0.001709826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00353261,"about_ca_system_score_gemma":0.002515922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109698,"about_ca_topic_score_gemma":0.0006204835,"domain_scores_codex":[0.9587018,0.02181445,0.002399134,0.005292282,0.008457515,0.003334863],"domain_scores_gemma":[0.9443629,0.02955994,0.003481363,0.01590855,0.004968423,0.001718809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001420137,0.00007635123,0.001402753,0.00009276931,0.00007038884,0.001026497,0.002457111,0.002794325,0.001398698,0.9505845,0.00671243,0.03324199],"study_design_scores_gemma":[0.00009652667,0.0001504005,0.0007418414,0.0002717149,0.0001264044,0.003803603,0.001941651,0.02830081,0.006302036,0.8461466,0.1119822,0.000136127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07172766,0.005363961,0.5781552,0.05969648,0.001118172,0.0006425717,0.0001699566,0.001069489,0.2820565],"genre_scores_gemma":[0.8811739,0.001534065,0.07112272,0.008050099,0.0007119136,0.0003667152,0.000105601,0.0001989761,0.03673608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02295442,"threshold_uncertainty_score":0.121396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05346294455418806,"score_gpt":0.3062263491590682,"score_spread":0.2527634046048802,"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."}}