{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007427548,0.0002171118,0.0001973398,0.001542467,0.001080177,0.001862743,0.0003497777,0.0005364472,0.005484135],"category_scores_gemma":[0.004350537,0.0002874355,0.0002824218,0.0006168304,0.0008856045,0.00213419,0.001273434,0.0005821255,0.001147051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320309,"about_ca_system_score_gemma":0.0003563085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004955614,"about_ca_topic_score_gemma":0.01271658,"domain_scores_codex":[0.9992968,0.0002667387,0.00005734303,0.0001481135,0.0001440114,0.00008697087],"domain_scores_gemma":[0.9968269,0.001112777,0.001101005,0.0004267927,0.0003175213,0.0002150172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002433892,0.0002667505,0.7328956,0.000604384,0.00008700502,0.002399771,0.1101608,0.00006550545,0.006967814,0.005955669,0.01011333,0.1302399],"study_design_scores_gemma":[0.00001975919,0.0004620656,0.7371001,0.00103164,0.0001507036,0.009201957,0.1031063,0.0003593551,0.009321826,0.001540692,0.1376186,0.00008702141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959174,0.001229103,0.001589487,0.0009206932,0.00006535211,0.0001125601,0.001355944,0.00007924471,0.03547345],"genre_scores_gemma":[0.9852975,0.001763536,0.004083097,0.0006138606,0.00003671664,0.00007067194,0.0007451685,0.00003283781,0.007356573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005484135,"threshold_uncertainty_score":0.01834625,"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."}}