{"id":"W1517409699","doi":"10.24908/ss.v8i4.4189","title":"In Further Defence of Privacy","year":2011,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Internet privacy; Computer security; Information privacy; Computer science; Political science; Law and economics; Sociology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009663724,0.00008126647,0.0001806876,0.0000120399,0.0001130282,0.00001007396,0.0003351829,0.0001092399,0.0005645422],"category_scores_gemma":[0.0000710932,0.00007074112,0.0001420344,0.0003075642,0.004471764,0.000176404,0.00004018692,0.00009760427,0.00003350062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006034409,"about_ca_system_score_gemma":0.0001191493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214995,"about_ca_topic_score_gemma":0.002434763,"domain_scores_codex":[0.9989089,0.0001319998,0.0001966732,0.0001890641,0.0002587473,0.0003146091],"domain_scores_gemma":[0.9994674,0.00008079941,0.0000942414,0.0002164296,0.00007936122,0.00006182436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001372377,0.0001265136,0.4621082,0.00001936915,0.00002057193,0.000002724289,0.353505,9.584489e-7,0.0001845262,0.1788232,0.004125488,0.001069747],"study_design_scores_gemma":[0.002317275,0.0001509938,0.4890195,0.00007925469,0.00001432393,0.000001819319,0.05537226,0.00006787603,0.001664888,0.163634,0.2864822,0.001195556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945874,0.0009993097,0.004815639,0.0008511065,0.001047118,0.0004210908,0.00002004805,0.0001265741,0.09713172],"genre_scores_gemma":[0.997245,0.0005615733,0.0008988448,0.0001569671,0.0001380491,0.000006408774,9.197299e-7,0.000008320947,0.0009838897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2981327,"threshold_uncertainty_score":0.9982375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582266078957138,"score_gpt":0.2762062404584458,"score_spread":0.2403835796688744,"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."}}