{"id":"W4281400786","doi":"10.1145/3488932.3517404","title":"Lures for Money","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variety (cybernetics); Internet privacy; Incentive; Computer science; Population; World Wide Web; Business","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":[0.0004464446,0.0001247211,0.0001538413,0.0001017829,0.0009391667,0.000169871,0.004527146,0.00003298056,0.000008702523],"category_scores_gemma":[0.00007491851,0.0001066567,0.00007898248,0.0003893898,0.00009356892,0.0001730161,0.003316846,0.0003970934,0.0000011588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004097201,"about_ca_system_score_gemma":0.00004822588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001694874,"about_ca_topic_score_gemma":0.000002823773,"domain_scores_codex":[0.9990357,0.00005083409,0.0001992413,0.0002905291,0.0002760635,0.0001476706],"domain_scores_gemma":[0.9982616,0.0001951321,0.0001981647,0.001082611,0.0002159834,0.00004647183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003000697,0.0002168422,0.0004122054,0.00002285615,0.00002115348,4.182368e-8,0.001759435,0.00001303917,0.0004444767,0.9779206,0.004979842,0.01417952],"study_design_scores_gemma":[0.001100341,0.001633573,0.009902415,0.00008797143,0.00003711144,0.00003378019,0.000735308,0.4036662,0.004352245,0.5328839,0.04504916,0.0005180572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6217996,0.001341264,0.044678,0.2475603,0.004686933,0.006265001,0.0003162088,0.001403577,0.07194918],"genre_scores_gemma":[0.9888087,0.00005762115,0.01026097,0.0005918608,0.00003349518,0.0001809291,0.000003104145,0.000007150673,0.00005615461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450367,"threshold_uncertainty_score":0.841264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730800453416453,"score_gpt":0.2711671590825407,"score_spread":0.2338591545483762,"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."}}