{"id":"W2109029025","doi":"10.1109/pacrim.2007.4313220","title":"The Impact of Google Hacking on Identity and Application Fraud","year":2007,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Hacker; Identity theft; Commit; Identity (music); The Internet; Internet privacy; Computer security; Computer science; Personally identifiable information; Phishing; World Wide Web; Database","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":[0.0004767492,0.00002933702,0.00002938461,0.00002450192,0.000102457,0.00007673124,0.0001648884,0.00001831732,0.0000014535],"category_scores_gemma":[0.00002010051,0.00001778909,0.00002093894,0.0001421237,0.00001612955,0.0002262333,0.00003680458,0.00003810548,0.000006409077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001793176,"about_ca_system_score_gemma":0.000005916878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005627896,"about_ca_topic_score_gemma":0.0001289156,"domain_scores_codex":[0.9996798,0.000009044663,0.00006785915,0.00008452346,0.00009059954,0.00006814259],"domain_scores_gemma":[0.9996327,0.00009684338,0.00003991745,0.0001877047,0.00002262457,0.00002023141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002669564,0.00005672152,0.03477839,0.000005960218,0.00002241515,6.205986e-7,0.0007607653,0.0002567295,0.02511229,0.2700386,0.0007423857,0.6681984],"study_design_scores_gemma":[0.0001399467,0.0001709175,0.9035754,0.000006159466,0.000001907207,0.000004877319,0.00002215147,0.04124031,0.0269523,0.02730892,0.0004998354,0.0000772489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3429021,0.00002229533,0.6537862,0.00005546051,0.00005217506,0.00003775673,6.922732e-8,0.00002641679,0.00311748],"genre_scores_gemma":[0.9989901,0.000005789193,0.0009139425,0.00002220591,0.000029017,8.283958e-7,9.692237e-8,0.000001210759,0.00003679753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8687971,"threshold_uncertainty_score":0.08507732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147805366279541,"score_gpt":0.3086486120947053,"score_spread":0.2938680754667512,"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."}}