{"id":"W4214822363","doi":"10.28938/9781912729227","title":"Concealing for Freedom","year":2022,"lang":"en","type":"book","venue":"Mattering Press eBooks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Encryption; The Internet; Computer security; Internet governance; Internet privacy; Cryptography; USable; Computer science; Political science; World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000337862,0.0003389561,0.000489878,0.000117859,0.0002324111,0.0004010733,0.001744499,0.0001419272,0.00007129474],"category_scores_gemma":[0.000009587428,0.0003568039,0.0003461061,0.00001060316,0.00004543175,0.00006917299,0.0009924122,0.0004208466,0.000008751425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347675,"about_ca_system_score_gemma":0.0001003877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002289172,"about_ca_topic_score_gemma":0.000008209163,"domain_scores_codex":[0.9980073,0.00004504943,0.000470624,0.0006953286,0.0003654531,0.0004162708],"domain_scores_gemma":[0.9988819,0.0001642435,0.0003164705,0.0004957955,0.00006825862,0.00007329552],"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":[0.00000762245,0.000009235694,1.389377e-7,0.0003014682,0.0002202106,0.00004018828,0.00156739,0.007426023,0.00002057992,0.8979082,0.08369609,0.008802889],"study_design_scores_gemma":[0.0001629109,0.00004035342,1.175382e-7,0.0001169477,0.00004415704,0.00001175391,0.00000488449,0.2214333,0.00003467738,0.000170529,0.7776367,0.0003436377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000007184917,0.0002495976,0.6037409,0.00003460771,0.001333517,0.0003715142,0.00003728954,0.0003283584,0.393897],"genre_scores_gemma":[0.00538855,0.000002761165,0.009375765,0.0005490324,0.0006232033,0.0002031051,0.00004885503,0.00008255515,0.9837261],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8977376,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226023718746708,"score_gpt":0.2471793543528893,"score_spread":0.2149191171654223,"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."}}