{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000310327,0.0001200572,0.00030959,0.00002838099,0.0001356302,0.00008105589,0.0001797281,0.00005159905,0.00005595648],"category_scores_gemma":[0.00005773351,0.00008443276,0.00008089794,0.0001393915,0.0001544354,0.001015999,0.00007354848,0.000124764,0.00002589641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005959167,"about_ca_system_score_gemma":0.00003162071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007980241,"about_ca_topic_score_gemma":0.00142023,"domain_scores_codex":[0.9987478,0.00006168686,0.0004585114,0.000165619,0.0003351331,0.0002312108],"domain_scores_gemma":[0.9994248,0.00001649779,0.0001749036,0.0001610464,0.00009992249,0.0001227879],"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":[0.000006465104,0.0003801565,0.002583269,0.003015111,0.00000878405,0.000001236171,0.002408546,1.416776e-7,0.00002533733,0.7811862,0.003417145,0.2069677],"study_design_scores_gemma":[0.0003674388,0.00004798152,0.002141407,0.01344078,0.00001668692,0.000001527552,0.001268038,0.00001355311,0.00002769202,0.003222916,0.9792375,0.0002144753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.214713,0.3945863,0.00003161924,0.02062693,0.001252752,0.003100968,0.00007741106,0.0002322562,0.3653788],"genre_scores_gemma":[0.9482682,0.05056346,0.0001221303,0.0006483088,0.0001113632,0.00001853212,0.00006193628,0.00000847021,0.0001976025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9758204,"threshold_uncertainty_score":0.9986257,"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."}}