{"id":"W102276359","doi":"","title":"Gone 'Phishing': This Was the Summer When Consumers Were Lured to Fake Bank Websites with a View to Defrauding Them","year":2003,"lang":"en","type":"article","venue":"ABA banking journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Credit card; Business; Complaint; Identity theft; Advertising; Personally identifiable information; Population; Internet privacy; The Internet; Political science; Finance; Law; Sociology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001142028,0.0002914757,0.0003276379,0.0001069562,0.001216792,0.0007532725,0.001000627,0.00004731629,0.00099628],"category_scores_gemma":[0.0001516739,0.0001795837,0.0001249656,0.0005146711,0.00006259183,0.0005337214,0.0003201436,0.0004533101,0.0003699583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242583,"about_ca_system_score_gemma":0.00009746644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001457555,"about_ca_topic_score_gemma":0.0003208677,"domain_scores_codex":[0.9977913,0.0001596581,0.0003928387,0.0003828324,0.0006234657,0.0006498285],"domain_scores_gemma":[0.9987304,0.0002458839,0.0001596674,0.0004980525,0.0001556818,0.0002103356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000169392,0.0002845038,0.093241,0.0001048915,0.001914359,0.0004434149,0.07262565,0.001266822,0.001955459,0.1279464,0.537106,0.1629421],"study_design_scores_gemma":[0.0007514268,0.0002215654,0.004397716,0.0004554487,0.00009351621,0.0007140638,0.0006053832,0.0001128998,0.0009349043,0.002270793,0.9888676,0.0005746455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2550009,0.007212061,0.3790475,0.04198291,0.002667801,0.001807013,0.000006365906,0.0004631206,0.3118123],"genre_scores_gemma":[0.957845,0.0002307199,0.03096998,0.008046217,0.0001436223,0.00002746811,6.660565e-7,0.00003388463,0.002702427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7028441,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538570300024412,"score_gpt":0.2528688985778189,"score_spread":0.2174831955775747,"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."}}