{"id":"W2461765723","doi":"10.1145/2947626.2947637","title":"Phishing Susceptibility Detection through Social Media Analytics","year":2016,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Phishing; Social media; Internet privacy; Computer science; Analytics; Computer security; World Wide Web; Identity theft; Data science; The Internet","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":[0.0003644769,0.00009371548,0.0001015955,0.0000464217,0.0002095961,0.0001309877,0.0003752493,0.00008999181,0.00007183797],"category_scores_gemma":[0.0002315311,0.00006315517,0.0000743662,0.0003389929,0.00004673118,0.001182009,0.0001053595,0.00008451825,0.0001021809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132575,"about_ca_system_score_gemma":0.00002407953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000726065,"about_ca_topic_score_gemma":0.000811847,"domain_scores_codex":[0.9989778,0.00006492344,0.0001663422,0.0003289423,0.0002534914,0.0002084964],"domain_scores_gemma":[0.9992817,0.0002289696,0.00006223951,0.0003044701,0.00007915185,0.00004345995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002210697,0.0000785371,0.002176885,0.00001139539,0.00003170268,0.000004955042,0.004412935,0.000005661802,0.08529307,0.04964745,0.00238656,0.8559287],"study_design_scores_gemma":[0.002237841,0.0002802319,0.09455716,0.00004734601,0.00005107026,0.00004497599,0.0003344282,0.01568343,0.4645988,0.3963229,0.02448048,0.001361253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08058257,0.000007733492,0.9127182,0.001424116,0.001078808,0.00004582332,8.883949e-7,0.0004040259,0.00373786],"genre_scores_gemma":[0.9943898,0.000005643244,0.004866594,0.0001455623,0.0004375995,0.000002843926,2.673204e-7,0.000005620573,0.000146104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9138072,"threshold_uncertainty_score":0.2575393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932008061963403,"score_gpt":0.259254140590598,"score_spread":0.219934059970964,"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."}}