{"id":"W2295314895","doi":"","title":"Our Digital Selves: Privacy Issues in Online Behavioural Advertising","year":2013,"lang":"en","type":"article","venue":"Appeal: Review of Current Law and Law Reform","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Internet privacy; Information privacy; Advertising; Field (mathematics); Targeted advertising; Statute; Legal aspects of computing; Subject (documents); Privacy policy; Online advertising; Tracking (education); Business; Personally identifiable information; The Internet; Political science; Computer science; Law; Sociology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006892533,0.0001863345,0.0002650683,0.001815345,0.01183861,0.01286195,0.001417006,0.005956287,0.004203469],"category_scores_gemma":[0.01610491,0.0002588535,0.000389351,0.003273465,0.04024004,0.008067278,0.003958777,0.005249909,0.0004450114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01554241,"about_ca_system_score_gemma":0.01846831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2764264,"about_ca_topic_score_gemma":0.3059144,"domain_scores_codex":[0.9909855,0.00389429,0.0002040281,0.0005352678,0.003384693,0.0009962468],"domain_scores_gemma":[0.9864213,0.00914479,0.0009279631,0.0009564378,0.001903518,0.0006459633],"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":[0.00002045097,0.00003648618,0.003175749,0.0001385298,0.000009839293,0.0004547646,0.03697078,0.0001400591,0.0001172279,0.8713139,0.02195896,0.06566335],"study_design_scores_gemma":[0.00001586824,0.00003493709,0.01368459,0.001684732,0.00003649015,0.001191332,0.0521824,0.0005282157,0.0004397367,0.3379152,0.5922112,0.00007533181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05974268,0.04723113,0.00479557,0.3388675,0.0006715343,0.00006851093,0.0001975586,0.00004777965,0.5483777],"genre_scores_gemma":[0.9005026,0.02302547,0.001437824,0.04835016,0.0008348958,0.00004476068,0.0000751212,0.00002786616,0.02570146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2764264,"threshold_uncertainty_score":0.5496348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789086706286919,"score_gpt":0.373075907818106,"score_spread":0.3251850407552368,"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."}}