{"id":"W2896248865","doi":"10.1145/3267357.3267370","title":"Online Tracking of Kids and Teens by Means of Invisible Images","year":2018,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internet privacy; Tracking (education); Covert; Social media; General Data Protection Regulation; Computer science; Point (geometry); Personally identifiable information; World Wide Web; Computer security; Psychology; Data Protection Act 1998","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003694171,0.00004001005,0.00009162712,0.00003800614,0.0001207496,0.00001603544,0.0001476889,0.00004825433,0.0001751728],"category_scores_gemma":[0.0004659802,0.00003521887,0.00001675827,0.0001444293,0.000434662,0.0002471456,0.00007402157,0.00004096285,0.000001972765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008904311,"about_ca_system_score_gemma":0.00003322471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009635034,"about_ca_topic_score_gemma":0.004612948,"domain_scores_codex":[0.9994665,0.00005292117,0.0001256059,0.0001004145,0.0001501988,0.000104364],"domain_scores_gemma":[0.9996313,0.00004869651,0.00005986077,0.0001193613,0.0001002157,0.00004058988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001349933,0.001782926,0.1057752,0.0003902295,0.0001287991,0.000001776251,0.07232713,6.024319e-7,0.4550733,0.04494694,0.1668144,0.1526237],"study_design_scores_gemma":[0.001113542,0.0009297035,0.04621063,0.0001528473,0.00007238602,0.000002052909,0.0286424,0.0003067998,0.7431817,0.03359952,0.1452658,0.0005226529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535288,0.0003849673,0.005045433,0.002383594,0.0001689198,0.0002262182,0.0002063055,0.00006578844,0.03799],"genre_scores_gemma":[0.9974393,0.0002420795,0.001845452,0.0000591759,0.0001171982,7.228106e-7,0.000006306107,0.000002943847,0.0002868014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881083,"threshold_uncertainty_score":0.9969599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302420998962557,"score_gpt":0.3282848901505299,"score_spread":0.2952606801609043,"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."}}