{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002023912,0.0005784558,0.000515247,0.000790867,0.005040471,0.008659056,0.0009470414,0.003084116,0.01909075],"category_scores_gemma":[0.006396943,0.0003006404,0.0006664787,0.0006716938,0.01885316,0.01483696,0.004866228,0.005825409,0.00447492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003843734,"about_ca_system_score_gemma":0.003396659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155528,"about_ca_topic_score_gemma":0.002482429,"domain_scores_codex":[0.9976763,0.0009235686,0.00008006857,0.0003370932,0.0006415246,0.0003415201],"domain_scores_gemma":[0.9978614,0.001132129,0.0001589826,0.0004500109,0.0002237168,0.000173643],"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":[0.000005596316,0.000003712396,0.00005120296,0.00002543276,0.000001412692,0.00002928752,0.001741357,0.00008765146,0.00005587909,0.97469,0.01596022,0.007348356],"study_design_scores_gemma":[0.000005618703,0.00001320998,0.0001139898,0.0002210784,0.000003424728,0.0001369595,0.001448011,0.0002224035,0.0002169702,0.3281565,0.669451,0.00001090076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005810737,0.0107043,0.02490205,0.03993259,0.00265693,0.00006226952,0.000126079,0.000174846,0.9156302],"genre_scores_gemma":[0.3961877,0.01329388,0.01035524,0.0205614,0.002726056,0.0002235587,0.0002675915,0.0003996223,0.555985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01909075,"threshold_uncertainty_score":0.06386489,"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."}}