{"id":"W133717707","doi":"","title":"Striving to Create a Safe Haven Online: ID Theft, Worms, Bugs, and Virtual Eavesdropping Banks Cope with Escalating Threat. (Tech Topics)","year":2003,"lang":"en","type":"article","venue":"ABA banking journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Casual; Identity theft; Cyberspace; Internet privacy; Business; Computer security; Hacker; Seriousness; Credit card; The Internet; Engineering; Political science; Computer science; Finance; Law; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397229,0.0002743916,0.0003230355,0.0001690197,0.001011974,0.0005703211,0.0004442993,0.00006252828,0.0000643578],"category_scores_gemma":[0.0001072334,0.0002078322,0.00006349,0.0003376121,0.00005418097,0.0006142035,0.0003041672,0.0005056044,0.000007806472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009856902,"about_ca_system_score_gemma":0.0000995376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009343499,"about_ca_topic_score_gemma":0.0001099379,"domain_scores_codex":[0.998075,0.00008928469,0.0004280523,0.000389824,0.0004568661,0.0005609869],"domain_scores_gemma":[0.9990778,0.0001379571,0.0001707066,0.0003175608,0.0001140812,0.0001819021],"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":[0.0001346684,0.0003649737,0.1166359,0.00009067208,0.0009931328,0.0007622975,0.02730954,0.006524689,0.005371236,0.1885066,0.002562782,0.6507436],"study_design_scores_gemma":[0.0183903,0.008610124,0.6863712,0.01087845,0.0007488453,0.01396779,0.01425228,0.03505014,0.01324282,0.02151326,0.1682661,0.008708606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7734116,0.0005829068,0.2140579,0.001036421,0.000353183,0.0002519809,0.000003118245,0.0001124244,0.01019045],"genre_scores_gemma":[0.9626436,0.0001314993,0.03536555,0.0007102878,0.0002527653,0.000004616654,0.000001316507,0.00002156335,0.0008687911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.642035,"threshold_uncertainty_score":0.8475151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359244576131696,"score_gpt":0.240345256410633,"score_spread":0.226752810649316,"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."}}