{"id":"W2289443796","doi":"10.14288/1.0077716","title":"Standby letters of credit and fraud","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Computer security; Computer science; Actuarial science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004719202,0.000208539,0.000342139,0.002422244,0.004010154,0.009804223,0.0008390953,0.004178151,0.009477993],"category_scores_gemma":[0.05303085,0.0002586665,0.0003649115,0.004596217,0.01014496,0.003824155,0.004270696,0.002598433,0.001253692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006413303,"about_ca_system_score_gemma":0.005019546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164568,"about_ca_topic_score_gemma":0.00965663,"domain_scores_codex":[0.975732,0.01279563,0.0009908271,0.0006466798,0.00776042,0.00207456],"domain_scores_gemma":[0.9351648,0.03579596,0.02021516,0.001959712,0.004787164,0.002077081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007812523,0.001023777,0.1646351,0.0009506974,0.00008789021,0.004248063,0.02991746,0.001876538,0.0006002484,0.4361846,0.06806894,0.2916255],"study_design_scores_gemma":[0.0001510891,0.001221885,0.3870967,0.003810394,0.0001400263,0.01029488,0.04723163,0.002501564,0.001681691,0.1328776,0.4127488,0.0002438239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6261883,0.02695998,0.001333582,0.04633449,0.0007156421,0.00009412164,0.0002794793,0.00004474354,0.2980496],"genre_scores_gemma":[0.9763397,0.007158554,0.0003183016,0.003287338,0.0003470411,0.00003207566,0.00006183212,0.00000857479,0.0124466],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01164568,"threshold_uncertainty_score":0.04653192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008591124801421724,"score_gpt":0.1607636186959438,"score_spread":0.1521724938945221,"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."}}