{"id":"W2211500962","doi":"10.1145/2841113.2841123","title":"Peace vs. Privacy","year":2015,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encryption; Computer science; Computer security; Communication source; Key (lock); Confidentiality; Internet privacy; Service provider; Authentication (law); Server; Cryptography; Public-key cryptography; Email authentication; Cloud computing; World Wide Web; Service (business); Computer network; Multi-factor authentication; Authentication protocol; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0007336899,0.00004582551,0.00005851841,0.00002937542,0.0002119992,0.0000858755,0.0003765596,0.00005778615,0.0002862039],"category_scores_gemma":[0.001270244,0.00004141548,0.00002130623,0.0001604884,0.00008265781,0.0004195187,0.0001763014,0.00007276464,0.0006069645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007518245,"about_ca_system_score_gemma":0.0001677694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008550712,"about_ca_topic_score_gemma":0.001722256,"domain_scores_codex":[0.999231,0.0001023173,0.00007485996,0.0001293393,0.0002791351,0.0001833643],"domain_scores_gemma":[0.9994757,0.00002143644,0.00002512996,0.0002299567,0.00007333274,0.0001744835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003455581,0.00009944879,0.00427256,0.000005853372,0.000008000924,0.00000413148,0.02929114,7.307731e-7,0.00005329323,0.1386217,0.8134038,0.01420476],"study_design_scores_gemma":[0.0001642608,0.00002739624,0.0006622893,0.000001854668,0.000002507722,5.613668e-7,0.002502217,0.0000228584,0.0001619053,0.02164937,0.9747296,0.00007517761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07338675,0.0002963637,0.007221615,0.03583343,0.001383821,0.0004479521,0.000005315591,0.0006145338,0.8808102],"genre_scores_gemma":[0.9898863,0.00009492791,0.001895022,0.0006054124,0.000570436,0.000009207624,0.000005497012,0.000005278509,0.006927948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164995,"threshold_uncertainty_score":0.9980514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668472885319043,"score_gpt":0.3356032760260129,"score_spread":0.2687559874941086,"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."}}