{"id":"W4286900322","doi":"10.48550/arxiv.2110.09832","title":"The Impact of User Location on Cookie Notices (Inside and Outside of the\\n European Union)","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; European union; Internet privacy; Domain (mathematical analysis); Sample (material); Variance (accounting); Point (geometry); Set (abstract data type); Computer science; Privacy policy; World Wide Web; Advertising; Business; Information privacy; Political science; Law; International trade; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002868308,0.0002092744,0.0002635824,0.002567127,0.0005459173,0.002816768,0.0003885777,0.0006279294,0.002607014],"category_scores_gemma":[0.03669097,0.0001771026,0.0003958236,0.003691497,0.001104311,0.00207302,0.00117879,0.000833424,0.0005840581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008953579,"about_ca_system_score_gemma":0.0006275011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04468377,"about_ca_topic_score_gemma":0.05733715,"domain_scores_codex":[0.9969189,0.001186624,0.0001817798,0.0005354179,0.0007538559,0.0004233942],"domain_scores_gemma":[0.934032,0.04276421,0.01259679,0.004551665,0.004037922,0.002017317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002067217,0.0000597619,0.9831597,0.00004055928,0.00008053239,0.00006790471,0.0009812651,0.0005746476,0.000390929,0.0005599097,0.0007814588,0.01309661],"study_design_scores_gemma":[0.000003219839,0.00003849075,0.9948159,0.00001816358,0.000032093,0.00008281691,0.001460282,0.001560473,0.0005399267,0.000207166,0.00122741,0.00001390182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952499,0.0001444843,0.000333878,0.0001485183,0.000005575207,0.000005892884,0.0007640438,0.00004357704,0.003304056],"genre_scores_gemma":[0.9985648,0.00006227464,0.0001973245,0.0000182171,0.000004533232,0.000002541846,0.000601408,0.00001489952,0.0005339488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04468377,"threshold_uncertainty_score":0.08884734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06543844134979436,"score_gpt":0.2351957927972118,"score_spread":0.1697573514474174,"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."}}