{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005329047,0.0001298107,0.0003248428,0.0001766379,0.0001693908,0.0002216605,0.001269175,0.00007096846,0.00006430933],"category_scores_gemma":[0.0003819058,0.00008629695,0.0002790111,0.0008725926,0.000166639,0.0003040168,0.0002731559,0.0002027041,0.0000017626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002294066,"about_ca_system_score_gemma":0.0001541117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007735295,"about_ca_topic_score_gemma":0.000139176,"domain_scores_codex":[0.998441,0.00002414894,0.0003471381,0.0003200122,0.0006928982,0.0001747611],"domain_scores_gemma":[0.9985475,0.0002187686,0.0003376983,0.0001412014,0.0007121179,0.00004269569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001113203,0.0009002945,0.03509142,0.0001156159,0.005191692,0.000007004403,0.1307903,0.00003639162,0.1160696,0.6460554,0.004788628,0.06084232],"study_design_scores_gemma":[0.003194185,0.0001490625,0.1161453,0.0006460609,0.003428384,0.00002302297,0.1109725,0.6629626,0.0703716,0.02282101,0.008063863,0.0012224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838144,0.00004869976,0.0002689053,0.01114033,0.0002784917,0.00005269241,0.0001298844,0.00002462962,0.004241951],"genre_scores_gemma":[0.9986401,0.00008191232,0.0007092568,0.0002724358,0.000100004,0.000006792192,0.00001272446,0.00000500037,0.0001717638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6629262,"threshold_uncertainty_score":0.3519088,"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."}}