{"id":"W2407568572","doi":"","title":"Phoney phishing and pharming.","year":2005,"lang":"fr","type":"article","venue":"PubMed","topic":"Digital Communication and Language","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Phishing; Internet privacy; Computer science; Computer security; Business; World Wide Web; 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":[0.0004023064,0.0001048553,0.0001028797,0.00005132978,0.0001009272,0.00069332,0.0005839197,0.00004683815,0.00005591572],"category_scores_gemma":[0.00009638158,0.0001135082,0.00003576772,0.0002032375,0.00009903282,0.001636228,0.0004448112,0.0001549745,0.0001182137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004463159,"about_ca_system_score_gemma":0.00001875297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005775857,"about_ca_topic_score_gemma":0.00004721415,"domain_scores_codex":[0.9990453,0.00006280658,0.0001622544,0.000223839,0.0001444204,0.0003613656],"domain_scores_gemma":[0.9991423,0.00008500967,0.0000596505,0.0004640141,0.00003112959,0.0002178701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001558343,0.00006308875,0.00006404768,0.00001083014,0.000008580001,0.000005661126,0.001064215,0.000003926998,0.000005122647,0.03739118,0.003458482,0.9579233],"study_design_scores_gemma":[0.0002693807,0.000004584596,0.01122254,0.00001202707,0.000006517942,0.0000454827,0.0000362038,0.003744161,0.0003782182,0.0004793681,0.9836523,0.0001492069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01556715,0.06094265,0.003691862,0.1068167,0.0007037445,0.0004354681,0.000009282016,0.0002006199,0.8116325],"genre_scores_gemma":[0.9320468,0.0005321694,0.003038074,0.004075748,0.0001785084,0.0001123641,0.000001866877,0.000009574504,0.06000488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9801939,"threshold_uncertainty_score":0.6685701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066456675603221,"score_gpt":0.2411312825222768,"score_spread":0.1904667157662446,"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."}}