{"id":"W2884193516","doi":"","title":"Examining COPPA Compliance at Scale","year":2018,"lang":"en","type":"article","venue":"Symposium On Usable Privacy and Security","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Identifier; Computer science; Internet privacy; Scalability; Android (operating system); Computer security; World Wide Web; Database","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":[0.007713142,0.001222491,0.001202687,0.005994054,0.001511277,0.004160031,0.002251732,0.0009293167,0.002913889],"category_scores_gemma":[0.03826414,0.0008435996,0.00107116,0.003439387,0.001193601,0.005176266,0.004648615,0.002366274,0.001588029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179734,"about_ca_system_score_gemma":0.002268431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01830841,"about_ca_topic_score_gemma":0.01390789,"domain_scores_codex":[0.9860757,0.001946564,0.0008716301,0.003917664,0.00648328,0.0007051322],"domain_scores_gemma":[0.9646413,0.01122826,0.005885721,0.01098389,0.006293914,0.0009669479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004125079,0.001188694,0.504825,0.0004209637,0.0007012948,0.000977534,0.004236687,0.03218995,0.03110345,0.01300168,0.01968899,0.3912533],"study_design_scores_gemma":[0.0000696377,0.0003964172,0.2168044,0.0001212932,0.0001444093,0.0006913589,0.001751453,0.718414,0.01620371,0.02138889,0.02378295,0.0002315022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.597045,0.0006419003,0.3057747,0.001208666,0.0001690051,0.001438582,0.008756525,0.06066074,0.0243049],"genre_scores_gemma":[0.8698387,0.0001361866,0.121464,0.00020791,0.00005527043,0.0006501582,0.004875501,0.0009851445,0.001787115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830841,"threshold_uncertainty_score":0.04079145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05806092166803104,"score_gpt":0.3135621846673666,"score_spread":0.2555012629993356,"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."}}