{"id":"W1995554356","doi":"10.1145/1978942.1979244","title":"Does domain highlighting help people identify phishing sites?","year":2011,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Phishing; Legitimacy; Domain (mathematical analysis); Exploit; Computer science; World Wide Web; Internet privacy; Domain name; Web page; Computer security; The Internet; Political science; Law","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":[0.0004616316,0.0001183399,0.000117985,0.0001050745,0.0002392441,0.0003492439,0.0007077975,0.00006582643,0.0002249783],"category_scores_gemma":[0.0000442232,0.00007542394,0.00006663367,0.0003912092,0.00001476597,0.001302746,0.00024488,0.0001262121,0.0002462573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003105258,"about_ca_system_score_gemma":0.00001535309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005077508,"about_ca_topic_score_gemma":0.000719368,"domain_scores_codex":[0.9988698,0.00005718986,0.0001919818,0.0003738987,0.0002339623,0.0002731965],"domain_scores_gemma":[0.9992675,0.00005802223,0.00008344598,0.0004542528,0.00005030468,0.00008645776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004327825,0.0004231381,0.188034,0.0001367999,0.0001387005,0.0001438193,0.08528548,0.00001766234,0.1248016,0.5208678,0.01241411,0.06769368],"study_design_scores_gemma":[0.001268864,0.0003334404,0.3767746,0.0001230271,0.00003671977,0.0001175034,0.001316865,0.0211281,0.3352051,0.24884,0.01304863,0.001807056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4606587,0.00002417137,0.5169584,0.0006811615,0.001711824,0.00008526786,3.960653e-7,0.0006398554,0.01924022],"genre_scores_gemma":[0.9428809,0.000004556456,0.05582936,0.0002560355,0.0001926776,0.000007176241,8.445597e-7,0.000008966579,0.000819521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4822221,"threshold_uncertainty_score":0.3367767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471575098055676,"score_gpt":0.2357652450595044,"score_spread":0.2110494940789476,"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."}}