{"id":"W3044848499","doi":"10.1145/3374136","title":"Threats to Online Advertising and Countermeasures","year":2020,"lang":"en","type":"article","venue":"Digital Threats Research and Practice","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Nokia (Canada)","funders":"","keywords":"Online advertising; The Internet; Native advertising; Advertising; Advertising research; Business; Internet privacy; Transparency (behavior); Revenue; Brainstorming; Advertising campaign; Computer science; Computer security; Marketing; World Wide Web","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":[0.003094138,0.001076798,0.000525525,0.005200726,0.001922688,0.004813031,0.001291356,0.003398605,0.002067925],"category_scores_gemma":[0.0117189,0.0004510984,0.0009034864,0.00156221,0.002722985,0.006344781,0.002152472,0.002519315,0.0008737706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262631,"about_ca_system_score_gemma":0.001466086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760073,"about_ca_topic_score_gemma":0.000660608,"domain_scores_codex":[0.995572,0.001627326,0.0002357095,0.0003935873,0.001794221,0.0003771647],"domain_scores_gemma":[0.9890809,0.006530016,0.001245449,0.001223621,0.001696939,0.0002229997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009913203,0.0003860562,0.009919992,0.00172226,0.00008089963,0.00143393,0.004325876,0.01187351,0.007700828,0.3946816,0.01645335,0.5513226],"study_design_scores_gemma":[0.00004886756,0.0008018158,0.01089102,0.006549444,0.0002937324,0.01158486,0.01237577,0.1129288,0.03137411,0.4201818,0.3926823,0.000287378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1401151,0.128488,0.4236212,0.04134835,0.003112899,0.001661649,0.0003185469,0.001966832,0.2593674],"genre_scores_gemma":[0.8517146,0.0465528,0.0813062,0.00359243,0.001270416,0.0003967404,0.0001911548,0.00009554936,0.01488031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005200726,"threshold_uncertainty_score":0.01636356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721230233977776,"score_gpt":0.4375860902328107,"score_spread":0.2654630668350331,"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."}}