{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004655196,0.00012744,0.0001431942,0.0001170285,0.0002199909,0.001064155,0.0003473866,0.00004762669,0.000003344913],"category_scores_gemma":[0.002990273,0.0001159431,0.00001689236,0.0005796321,0.0001221668,0.003788599,0.0006799421,0.0003312726,0.0000288559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003308513,"about_ca_system_score_gemma":0.00005506987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001156935,"about_ca_topic_score_gemma":0.000005998824,"domain_scores_codex":[0.9983046,0.0001006482,0.0001521844,0.0005347781,0.0005538259,0.0003539444],"domain_scores_gemma":[0.9976609,0.001166627,0.00003998778,0.0002895139,0.0003949252,0.0004480298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000278807,0.00008079027,0.000178106,0.00003128952,0.00001872335,0.0001266768,0.0007799539,0.00000352111,0.001351358,0.004781845,0.000618029,0.9917509],"study_design_scores_gemma":[0.002645901,0.01514355,0.006806879,0.0005944815,0.00003025112,0.002959823,0.00381496,0.008611426,0.03909221,0.3612886,0.5567039,0.002308022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01856633,0.005772674,0.8770181,0.05703181,0.00008574985,0.001015633,0.00007007882,0.0009657757,0.03947384],"genre_scores_gemma":[0.9558554,0.001340871,0.04000181,0.002156993,0.0001038484,0.00002056328,0.000004434562,0.00001931251,0.0004968227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894429,"threshold_uncertainty_score":0.9999728,"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."}}