{"id":"W4312687620","doi":"10.2139/ssrn.4248339","title":"Advertising Platforms and Privacy","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Internet privacy; Advertising; Consumer privacy; Business; Information privacy; Online advertising; Computer science; Computer security; World Wide Web; The Internet","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":[0.002284931,0.0002273126,0.0002742054,0.001499337,0.00339065,0.01218843,0.0003338314,0.004521769,0.02185434],"category_scores_gemma":[0.01321824,0.0002320888,0.0003176251,0.001730833,0.005789796,0.006631732,0.002092458,0.003673059,0.002060308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017898,"about_ca_system_score_gemma":0.00192656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003406244,"about_ca_topic_score_gemma":0.003957644,"domain_scores_codex":[0.997965,0.0009235407,0.00007286269,0.0002472253,0.0004802494,0.0003111559],"domain_scores_gemma":[0.9872938,0.009326147,0.00154068,0.0008083421,0.0005400904,0.0004909564],"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":[0.00006432931,0.00009680634,0.007067679,0.0000385621,0.00001809889,0.0001584175,0.003651395,0.0001758034,0.000169582,0.9567214,0.01121826,0.02061964],"study_design_scores_gemma":[0.00004946242,0.00006988649,0.01800335,0.0003375274,0.00008191874,0.0006250769,0.009905819,0.0009967086,0.0007069914,0.7328431,0.2363382,0.00004199126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1365091,0.01050777,0.001684055,0.1022781,0.0003205034,0.0000270159,0.0002313323,0.00003872097,0.7484035],"genre_scores_gemma":[0.9613473,0.004266953,0.0002604569,0.004587684,0.000438388,0.00001821228,0.00003828404,0.00002251741,0.02902022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02185434,"threshold_uncertainty_score":0.07311004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140578414259742,"score_gpt":0.2775635361741264,"score_spread":0.2635056947481522,"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."}}