{"id":"W1982535047","doi":"10.5430/jms.v5n2p70","title":"Mobile Users' Strategies for Managing Phishing Attacks","year":2014,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Internet privacy; Computer security; Computer science; Business; World Wide Web; The Internet","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":[0.001150649,0.0004488326,0.0002295273,0.001012749,0.0008785625,0.002034179,0.0003860625,0.001034473,0.002106362],"category_scores_gemma":[0.007278079,0.0002297997,0.0001753912,0.0003083607,0.0006382333,0.001066047,0.0006466453,0.0005472667,0.0007022501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756907,"about_ca_system_score_gemma":0.0004535083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009535209,"about_ca_topic_score_gemma":0.001060663,"domain_scores_codex":[0.9991602,0.0004536606,0.00004890608,0.00008134688,0.0001503328,0.0001055512],"domain_scores_gemma":[0.9962422,0.001768241,0.00079493,0.0004102884,0.0003954011,0.0003889901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009049986,0.005228535,0.4682275,0.0005338487,0.0001733814,0.001202803,0.1648936,0.002592721,0.0908726,0.007370995,0.002491782,0.2555073],"study_design_scores_gemma":[0.0004813334,0.01584704,0.5921912,0.0003952283,0.0004310968,0.003656552,0.2309274,0.05532921,0.0418765,0.01095721,0.0475781,0.0003290103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947532,0.00005028506,0.001154183,0.0001237476,0.000004054249,0.0001066296,0.00001328678,0.00003319091,0.003761414],"genre_scores_gemma":[0.9965018,0.00005993496,0.002104335,0.0000690948,0.000004075716,0.00004749002,0.00001683848,0.000004424491,0.001192059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106362,"threshold_uncertainty_score":0.007046521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821216422902147,"score_gpt":0.2582374399249746,"score_spread":0.2400252756959531,"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."}}