{"id":"W2610239316","doi":"10.1287/mnsc.1100.1246","title":"Privacy Regulation and Online Advertising","year":2010,"lang":"en","type":"article","venue":"Management Science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Advertising; Consumer privacy; Online advertising; Display advertising; Business; Order (exchange); Internet privacy; Privacy policy; European union; Native advertising; Information privacy; Banner; The Internet; Computer science; 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":[0.001247512,0.00005253819,0.00004572449,0.0001428085,0.001092599,0.0002399692,0.0005214612,0.00002785107,0.00006356696],"category_scores_gemma":[0.0003662978,0.00005229684,0.00001034602,0.0005852159,0.0006750806,0.001043451,0.0004859015,0.00009338467,0.00001630916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003815499,"about_ca_system_score_gemma":0.00002922603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004860284,"about_ca_topic_score_gemma":0.0007532152,"domain_scores_codex":[0.9989149,0.00002566218,0.00009362349,0.0002818177,0.0004496776,0.0002343263],"domain_scores_gemma":[0.9995145,0.00001460932,0.00004565903,0.0002954905,0.00003869879,0.00009104495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001249258,0.0001392018,0.01307636,0.00004056436,0.000006245284,0.000005034051,0.006952529,0.000005679827,0.0169476,0.4821557,0.001444126,0.4792145],"study_design_scores_gemma":[0.0003435404,0.00002900425,0.608124,0.0000289989,0.00001632762,0.00000187527,0.002073243,0.002279333,0.0008165969,0.08143532,0.3045793,0.0002724823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444249,0.00002491101,0.004871484,0.004444728,0.0008534159,0.0004097955,0.000002401544,0.0001421734,0.04482619],"genre_scores_gemma":[0.9908252,0.00006382258,0.008192936,0.0001393487,0.0001320292,0.000004544626,0.000002675118,0.000002720561,0.0006367211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5950477,"threshold_uncertainty_score":0.8403498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068014827018892,"score_gpt":0.3103269813806106,"score_spread":0.2896468331104217,"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."}}