{"id":"W2601772297","doi":"","title":"PIXASTIC: STEGANOGRAPHY BASEDANTI-PHISHING BROWSER PLUG-IN","year":2012,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Computer science; Computer security; Robustness (evolution); Usability; Steganography; World Wide Web; Internet privacy; The Internet; Artificial intelligence; Human–computer interaction; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002757133,0.0006131858,0.0005837571,0.0008907464,0.0001846972,0.0004530605,0.0006275701,0.00058485,0.002505735],"category_scores_gemma":[0.0005078362,0.000303745,0.0003273811,0.0002969316,0.0003292381,0.0006678683,0.0007340938,0.0004068195,0.0008589902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168099,"about_ca_system_score_gemma":0.0001918456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004526134,"about_ca_topic_score_gemma":0.0004835383,"domain_scores_codex":[0.9997728,0.00003939549,0.00001181937,0.00004006926,0.0001044842,0.00003132602],"domain_scores_gemma":[0.9996855,0.00008111603,0.00004491583,0.00008633719,0.00007518243,0.0000269716],"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":[0.001446671,0.0003996613,0.004228112,0.0005956304,0.0001419153,0.0008878503,0.0002734748,0.008867947,0.3462718,0.003200837,0.00712422,0.6265621],"study_design_scores_gemma":[0.0001657042,0.00142776,0.009515859,0.00006591075,0.0001333912,0.004663289,0.0001172451,0.295835,0.6545874,0.00140692,0.0319881,0.00009340348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1953943,0.001436413,0.7459176,0.0002242832,0.0001809627,0.0004658184,0.0002809379,0.04747632,0.008623364],"genre_scores_gemma":[0.7446305,0.0007533364,0.2360829,0.0002008086,0.00005515188,0.0001945929,0.0007165505,0.0005063511,0.01685996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002505735,"threshold_uncertainty_score":0.008382559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709427598744361,"score_gpt":0.2338031458200042,"score_spread":0.2167088698325606,"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."}}