{"id":"W4389151600","doi":"10.1177/14614448231213267","title":"Private attributes: The meanings and mechanisms of “privacy-preserving” adtech","year":2023,"lang":"en","type":"article","venue":"New Media & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Internet privacy; Anonymity; Leverage (statistics); Attribution; Privacy by Design; Information privacy; Computer science; Privacy policy; Privacy software; Rhetoric; Private information retrieval; Computer security; Psychology; Social psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02946673,0.0006649354,0.0005171068,0.002971258,0.007103858,0.01682248,0.001803988,0.006387222,0.002995196],"category_scores_gemma":[0.04538861,0.0008000638,0.0008833635,0.002909659,0.05857296,0.03306305,0.008171643,0.00874305,0.0005676978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005280297,"about_ca_system_score_gemma":0.00354744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519907,"about_ca_topic_score_gemma":0.0007572172,"domain_scores_codex":[0.9663549,0.02174309,0.001750007,0.002768877,0.006252228,0.001130819],"domain_scores_gemma":[0.9546332,0.02913916,0.003866877,0.008637207,0.002870929,0.0008525913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009465539,0.000008437883,0.0002893632,0.00002113916,0.00000376306,0.00003088469,0.009826702,0.0001022428,0.0001140572,0.9867357,0.0003301812,0.002527924],"study_design_scores_gemma":[0.00003039279,0.00004052254,0.0007755769,0.0002772458,0.00004207453,0.0003807715,0.0126778,0.001368922,0.001554535,0.8981562,0.08465095,0.00004511386],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.162349,0.005372176,0.2986048,0.1047646,0.0009546122,0.0001913762,0.0002738929,0.0002722869,0.4272172],"genre_scores_gemma":[0.9827861,0.0008118522,0.009931007,0.00218951,0.0002710646,0.00006928664,0.00004710909,0.00005466231,0.003839317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928961,"threshold_uncertainty_score":0.1558368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931409435673872,"score_gpt":0.2963126704276949,"score_spread":0.2469985760709562,"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."}}