{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312636,0.000890524,0.0004694038,0.005351778,0.0005461997,0.001743243,0.0004596572,0.000681065,0.0008714396],"category_scores_gemma":[0.006129165,0.0002305731,0.0003139611,0.00148352,0.0002939588,0.002238621,0.00148631,0.0007819471,0.0009630697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702383,"about_ca_system_score_gemma":0.0004414723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002992924,"about_ca_topic_score_gemma":0.004047832,"domain_scores_codex":[0.9983566,0.000567862,0.0001179001,0.0002275737,0.0005805254,0.0001494202],"domain_scores_gemma":[0.9940976,0.002338992,0.001258915,0.0006967715,0.001276165,0.0003316216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008211524,0.002147292,0.4360487,0.0004226136,0.000307368,0.0008842716,0.003625645,0.01408581,0.04287811,0.006303867,0.0142458,0.4782294],"study_design_scores_gemma":[0.00004347926,0.0007869627,0.1862001,0.0001607502,0.0001534492,0.0006916586,0.003461948,0.7368123,0.04135218,0.01784447,0.01234892,0.0001438638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8708576,0.0004062582,0.1041664,0.001522211,0.00009371698,0.0007848649,0.002939398,0.006734466,0.01249513],"genre_scores_gemma":[0.9715262,0.0001257027,0.02536982,0.00009183306,0.00005207459,0.00009830333,0.001108064,0.00003721341,0.001590778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005351778,"threshold_uncertainty_score":0.006941915,"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."}}