{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162265,0.00006218912,0.000108488,0.0004210781,0.001183888,0.0001806387,0.0005767609,0.00003458725,0.0001597176],"category_scores_gemma":[0.0001847148,0.00003978469,0.00004220494,0.002077204,0.0007031149,0.002716758,0.00007038173,0.00007009198,0.00001140874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125646,"about_ca_system_score_gemma":0.0001190319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154289,"about_ca_topic_score_gemma":0.000561815,"domain_scores_codex":[0.9986265,0.0001649816,0.0002434085,0.0001038124,0.000707711,0.0001535922],"domain_scores_gemma":[0.9991536,0.0002400445,0.0002075808,0.0002197827,0.0001101003,0.00006885033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001421698,0.0003667482,0.2321851,0.00004986339,0.0003322016,0.000002041888,0.3940955,0.004502113,0.0003575935,0.1732219,0.08647557,0.1082691],"study_design_scores_gemma":[0.0001930023,0.0001719329,0.2122763,0.00001362007,0.00007090281,0.000001006243,0.02639879,0.01871995,0.000710215,0.00330745,0.7379158,0.0002211484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442761,0.0000560512,0.0006145845,0.02562595,0.0001924615,0.0003586106,0.00003069889,0.00005569391,0.02878984],"genre_scores_gemma":[0.9988366,0.0001455231,0.0001538773,0.0005529261,0.0002540455,0.00001088668,0.000007554296,8.289614e-7,0.00003769617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6514401,"threshold_uncertainty_score":0.9105631,"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."}}