{"id":"W6903573762","doi":"10.11575/prism/30676","title":"Does Domain Highlighting Help People Identify Phishing Sites","year":2010,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phishing; Credential; Domain (mathematical analysis); Exploit; Identity theft; Legitimacy; Domain name; Identity (music); Password; The Internet","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002561161,0.0002877084,0.0002954215,0.0007756064,0.0009483755,0.00266885,0.0003681819,0.0009621213,0.01978501],"category_scores_gemma":[0.01716485,0.0001686508,0.0002112616,0.0004613219,0.0005891577,0.00306783,0.001158806,0.0005650158,0.005740035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006252785,"about_ca_system_score_gemma":0.00127901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007883969,"about_ca_topic_score_gemma":0.01812559,"domain_scores_codex":[0.9990137,0.0004468037,0.00003824017,0.000128338,0.0002186994,0.0001542644],"domain_scores_gemma":[0.9890555,0.006178454,0.001042104,0.001228727,0.001463098,0.001032067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001056565,0.001762812,0.1782892,0.001459044,0.00007032591,0.0002630885,0.03736809,0.0002801107,0.007768035,0.003263704,0.07414943,0.6942697],"study_design_scores_gemma":[0.0004689418,0.001531413,0.5539286,0.001424412,0.0005104846,0.001361033,0.113706,0.004203667,0.01605566,0.009202548,0.2973273,0.0002798994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041935,0.00104726,0.002948207,0.005700587,0.0001903173,0.0003204703,0.0005255617,0.001088055,0.1839861],"genre_scores_gemma":[0.9751325,0.0006903236,0.005259822,0.001279836,0.00002734058,0.00008258149,0.0002979531,0.000107285,0.01712224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01978501,"threshold_uncertainty_score":0.0661875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007468475849195814,"score_gpt":0.2059753467637937,"score_spread":0.1985068709145978,"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."}}