{"id":"W7038441024","doi":"","title":"The Impact of Phishing Susceptibility on Different Individual Outcomes","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Phishing; Psychological intervention; Coping (psychology); Outcome (game theory); Information security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003833174,0.0003191847,0.0004896547,0.001084457,0.0005035093,0.00102123,0.0002956849,0.0005074401,0.003137133],"category_scores_gemma":[0.01983898,0.0001343945,0.0009353434,0.00095996,0.0006363774,0.0009008526,0.00140748,0.00113097,0.0003603121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551651,"about_ca_system_score_gemma":0.0006868659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340096,"about_ca_topic_score_gemma":0.001992113,"domain_scores_codex":[0.997355,0.001159243,0.0002467342,0.0003581632,0.0005907743,0.0002901371],"domain_scores_gemma":[0.9797242,0.009535831,0.005993052,0.001071347,0.00198173,0.001693837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003448853,0.000320422,0.9612257,0.0002413492,0.0007954443,0.0001129413,0.001253483,0.0002745601,0.0003751729,0.00037252,0.0002227154,0.03446078],"study_design_scores_gemma":[0.000005382297,0.0003263815,0.9974841,0.00005890293,0.0001585228,0.0000940917,0.0007236846,0.0002032543,0.0001785438,0.0004783616,0.000277133,0.00001162135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954726,0.001067026,0.0004567218,0.0003322941,0.0000231774,0.00003975145,0.0003312057,0.000008057741,0.002269035],"genre_scores_gemma":[0.9989032,0.0003881243,0.0001926112,0.00004279177,0.00001139917,0.00002597413,0.0001497327,0.0000030628,0.0002830442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003833174,"threshold_uncertainty_score":0.02027202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487925710949535,"score_gpt":0.2838969383017715,"score_spread":0.2690176811922761,"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."}}