{"id":"W4229644330","doi":"10.17762/de.v2021i04.1710","title":"Under Publication Process","year":2021,"lang":"en","type":"article","venue":"Design Engineering","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308818,0.00007103523,0.00007736529,0.00004207329,0.00003148124,0.00004347731,0.0000507157,0.00005649809,0.00007430131],"category_scores_gemma":[0.0002317595,0.00007446438,0.00002634886,0.000228593,0.000003408026,0.0001071378,0.000009474108,0.00008180462,0.0000222234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146524,"about_ca_system_score_gemma":0.00002892618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.978549e-7,"about_ca_topic_score_gemma":7.882336e-7,"domain_scores_codex":[0.9995292,0.000008669605,0.0001177176,0.0001135779,0.0001037502,0.0001271294],"domain_scores_gemma":[0.999585,0.00008266597,0.00002532593,0.00015666,0.0001133583,0.00003698804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001608471,0.0001471077,0.00006741253,0.000555259,0.0001375288,0.00002417168,0.000713194,0.05016672,0.09355646,0.8412441,0.003633447,0.009738481],"study_design_scores_gemma":[0.0007826656,0.00006295452,0.000850191,0.0001133356,0.00008478924,0.0001682713,0.0001944165,0.3144289,0.5235209,0.1508768,0.008167191,0.0007495896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01316419,0.00004537467,0.984724,0.0001149107,0.0001399301,0.00008126772,5.932216e-7,0.0002596968,0.001470045],"genre_scores_gemma":[0.9581057,0.000002965241,0.04122283,0.00003993743,0.00009254923,0.00003695106,0.000003926941,0.00002665055,0.0004684381],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9449416,"threshold_uncertainty_score":0.3036569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06746060679531742,"score_gpt":0.2834409285080774,"score_spread":0.21598032171276,"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."}}