{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179733,0.0001272035,0.0001621175,0.0000658079,0.0004343561,0.00007120951,0.0007692614,0.0001133352,0.00001243629],"category_scores_gemma":[0.000573666,0.00009501517,0.0001344492,0.0003748176,0.0005052667,0.0001976585,0.0009508395,0.0003003821,0.000003766063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412667,"about_ca_system_score_gemma":0.0003098632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669014,"about_ca_topic_score_gemma":0.00666092,"domain_scores_codex":[0.9978216,0.001434861,0.000156524,0.0003145181,0.0001195728,0.0001529677],"domain_scores_gemma":[0.9984047,0.0002111008,0.0003721811,0.000692591,0.0002571874,0.00006223116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006502187,0.001393286,0.2906892,0.0009567058,0.00163522,0.00013302,0.05188349,0.3318545,0.001412984,0.2951314,0.003356919,0.02090301],"study_design_scores_gemma":[0.001067418,0.0002300926,0.9295925,0.0009143941,0.0003672084,0.000001519366,0.01591897,0.005181842,0.001328389,0.04235592,0.002330143,0.0007115517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842347,0.0001097764,0.00129432,0.0002620592,0.0002908827,0.0003176523,0.00002238132,0.00002406091,0.0134442],"genre_scores_gemma":[0.9988514,0.0006774581,0.00001123873,0.00001227412,0.00007160533,2.34815e-7,0.000008935896,0.000008496588,0.0003583718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6389033,"threshold_uncertainty_score":0.9898578,"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."}}