{"id":"W2083529680","doi":"10.1016/j.ins.2008.12.012","title":"An analysis of privacy signals on the World Wide Web: Past, present and future","year":2008,"lang":"en","type":"article","venue":"Information Sciences","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Internet privacy; Protocol (science); Computer science; Government (linguistics); Mechanism (biology); Information privacy; Intervention (counseling); Computer security; Business; 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":[0.004862489,0.0003981377,0.0005343991,0.004905396,0.00101531,0.009484897,0.001046004,0.002304239,0.003514722],"category_scores_gemma":[0.03197265,0.0003664963,0.0005983291,0.007729494,0.003558589,0.01817664,0.001338807,0.002931808,0.0004734672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320207,"about_ca_system_score_gemma":0.001278689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627055,"about_ca_topic_score_gemma":0.001239995,"domain_scores_codex":[0.9963244,0.001509937,0.0001716399,0.0004201145,0.00129231,0.0002816262],"domain_scores_gemma":[0.9469891,0.03808665,0.006248783,0.003696749,0.004228832,0.0007498661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004132838,0.0001892969,0.02234742,0.0004153187,0.0001258693,0.0003169709,0.001132681,0.01164687,0.001937639,0.7520174,0.006007556,0.2034496],"study_design_scores_gemma":[0.00004461614,0.0002458912,0.02660342,0.0006522144,0.0002324482,0.001060622,0.002643864,0.1173634,0.006715187,0.7781795,0.06611187,0.0001469369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161607,0.04876592,0.2277054,0.07806775,0.0007664288,0.0001170552,0.002042728,0.0006481756,0.1257258],"genre_scores_gemma":[0.977065,0.009252058,0.009753834,0.0007179482,0.0005763602,0.0000261158,0.0002984599,0.00003669144,0.002273613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009484897,"threshold_uncertainty_score":0.02571559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439202476729614,"score_gpt":0.3279138092191317,"score_spread":0.2839935615461703,"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."}}