{"id":"W4404656998","doi":"10.1007/s13278-024-01387-7","title":"Adversarial botometer: adversarial analysis for social bot detection","year":2024,"lang":"en","type":"article","venue":"Social Network Analysis and Mining","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Institute for Research in Fundamental Sciences","keywords":"Adversarial system; Computer science; Artificial intelligence; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0009459294,0.0002016363,0.000504401,0.0006928737,0.001201738,0.0007427522,0.0002433972,0.0002148479,0.00001821315],"category_scores_gemma":[0.00003373657,0.0002072788,0.0009987941,0.006231895,0.00005283096,0.0004217482,0.0001105744,0.0001705916,0.000002804374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008511943,"about_ca_system_score_gemma":0.00004502358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824761,"about_ca_topic_score_gemma":0.0007170293,"domain_scores_codex":[0.9981559,0.0001339536,0.0003471122,0.0006464677,0.0002952321,0.000421318],"domain_scores_gemma":[0.9993222,0.0002375853,0.0001353047,0.0001478083,0.00008002466,0.00007710003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003680943,0.00008712056,0.009481606,0.0000983323,0.04492158,0.00002680103,0.0256679,0.01678526,0.0008393302,0.01613768,0.004986346,0.8806],"study_design_scores_gemma":[0.0006815561,0.0001629252,0.01677717,0.00001117583,0.01520682,0.000001791351,0.0004016297,0.9469973,0.00009185952,0.003086722,0.0159863,0.0005947861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05985869,0.000317407,0.9371628,0.0003092879,0.001698808,0.0001361624,0.00001054761,0.0002548488,0.0002514707],"genre_scores_gemma":[0.9890184,0.00001917128,0.005556765,0.00008986455,0.005096776,0.00003570073,0.00003347269,0.00001415839,0.0001356917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.931606,"threshold_uncertainty_score":0.9242922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762543703463566,"score_gpt":0.2676718444516489,"score_spread":0.2500464074170133,"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."}}