{"id":"W2139204976","doi":"10.1287/isre.2014.0522","title":"<b>Research Note</b>—Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance","year":2014,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Temple University","keywords":"Phishing; Persuasion; Vulnerability (computing); Computer security; Espionage; Internet privacy; Industrial espionage; Computer science; Psychology; Social psychology; World Wide Web; The Internet; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03004212,0.00008878196,0.0001740021,0.001181237,0.0002928386,0.0006917514,0.0007408531,0.0001489036,0.000001451929],"category_scores_gemma":[0.001991267,0.00008641341,0.00001549038,0.001457591,0.0001874793,0.00646182,0.000228855,0.0006129086,0.000016366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376754,"about_ca_system_score_gemma":0.00009310976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009855408,"about_ca_topic_score_gemma":0.000160538,"domain_scores_codex":[0.9948201,0.002360791,0.0006079596,0.0002679092,0.001571148,0.0003720677],"domain_scores_gemma":[0.9965746,0.001024448,0.0001735833,0.0006883732,0.001439901,0.0000990433],"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":[0.00009060126,0.0001436053,0.006291314,0.001783777,0.000007280991,0.000002224864,0.03331469,0.001135816,0.01315842,0.1612222,0.0004112726,0.7824388],"study_design_scores_gemma":[0.001307651,0.001285023,0.4738165,0.001715612,0.000001960348,0.00003301969,0.004927537,0.3970747,0.05608569,0.01339059,0.04959125,0.0007705308],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231364,0.0000838066,0.1608068,0.0002047018,0.0001309951,0.0008444582,0.000003292063,0.0001516856,0.01463784],"genre_scores_gemma":[0.9972082,0.00002131058,0.002548626,0.000009571298,0.00004838865,0.0001162647,0.000003648258,0.0000046856,0.00003930236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7816683,"threshold_uncertainty_score":0.9987757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06586017334989017,"score_gpt":0.3913550503943983,"score_spread":0.3254948770445082,"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."}}