{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007056735,0.000185827,0.000348487,0.001369889,0.001839402,0.005086252,0.00042972,0.001735883,0.004595813],"category_scores_gemma":[0.03709839,0.0002456541,0.0005530455,0.002298553,0.003892906,0.002981361,0.001546768,0.001914059,0.0005280788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759554,"about_ca_system_score_gemma":0.001496083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002838678,"about_ca_topic_score_gemma":0.001709622,"domain_scores_codex":[0.9868728,0.008210886,0.0006464053,0.0009360249,0.002437203,0.0008966557],"domain_scores_gemma":[0.917929,0.05518917,0.01683303,0.006431005,0.002699392,0.0009183924],"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":[0.0004044779,0.0008013139,0.284306,0.0004804608,0.0002120613,0.0005713433,0.01602978,0.003648103,0.001980833,0.4221368,0.01022904,0.2591997],"study_design_scores_gemma":[0.000112706,0.0006254972,0.4867797,0.0009363788,0.0003293422,0.002690876,0.01249099,0.01655648,0.007854228,0.2799137,0.1915143,0.0001958475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6851999,0.00895857,0.01698962,0.02104226,0.000158333,0.0001772893,0.0004606292,0.0001032913,0.2669101],"genre_scores_gemma":[0.9951465,0.000825551,0.0007040128,0.000889262,0.00009360917,0.00002551531,0.00004330328,0.000008781327,0.002263474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007056735,"threshold_uncertainty_score":0.03732002,"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."}}