{"id":"W2575812256","doi":"10.1609/icwsm.v10i1.14769","title":"Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banting and Best Diabetes Centre, University of Toronto; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"BitTorrent tracker; Tracking (education); Computer science; Scale (ratio); Activity tracker; Deep Web; World Wide Web; The Internet; Artificial intelligence; Geography; Eye tracking; Psychology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000921391,0.0008816982,0.0007028707,0.005084893,0.0006642852,0.00146838,0.000595453,0.0009584721,0.001619677],"category_scores_gemma":[0.004370106,0.0003449722,0.0009988534,0.005578076,0.0005349704,0.002712012,0.001694183,0.001174232,0.003311028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635353,"about_ca_system_score_gemma":0.0004282115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005447681,"about_ca_topic_score_gemma":0.01067594,"domain_scores_codex":[0.9990602,0.0002153749,0.00007735673,0.0002842461,0.0002285471,0.000134181],"domain_scores_gemma":[0.997448,0.0009569122,0.0003974882,0.0006196168,0.0003848138,0.0001932709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001060918,0.001355496,0.4056613,0.001901989,0.001167519,0.003172215,0.003836429,0.0182369,0.02758776,0.005600076,0.1879601,0.3424593],"study_design_scores_gemma":[0.0001586755,0.0004925211,0.583537,0.0003429572,0.0003718336,0.003675006,0.003641589,0.2226088,0.0124175,0.01156723,0.1609402,0.0002466694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8646795,0.005478174,0.04073548,0.0008721624,0.0004132904,0.0001899293,0.07504088,0.005401324,0.007189346],"genre_scores_gemma":[0.7700718,0.001626894,0.04028981,0.0003200863,0.0002934144,0.0002401727,0.178641,0.0009824123,0.007534456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005447681,"threshold_uncertainty_score":0.01083195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058368384335818,"score_gpt":0.2669890897412527,"score_spread":0.2364054058978945,"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."}}