{"id":"W2781838202","doi":"10.5539/ijef.v10n2p1","title":"Empirical Information on the Small Size Effect Bias Relative to the False Positive Rejection Error for Benford Test-Screening","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Xiamen University; State University of New York","keywords":"Benford's law; Audit; Computer science; Sample size determination; Spurious relationship; Statistical power; Econometrics; Statistics; Context (archaeology); Statistical hypothesis testing; Data mining; Accounting; Machine learning; Mathematics; Business","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":[0.0007664924,0.00009989248,0.0001380097,0.0000696199,0.0001772559,0.0001106819,0.0001915441,0.00005917274,0.000004794414],"category_scores_gemma":[0.001957623,0.00006010418,0.0001039879,0.00004939621,0.00004871339,0.0003588783,0.00003679689,0.0001376829,0.000007014506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008160229,"about_ca_system_score_gemma":0.00002735012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001395732,"about_ca_topic_score_gemma":0.00009105468,"domain_scores_codex":[0.9993126,0.000032673,0.000400934,0.00007946388,0.00007664169,0.00009769191],"domain_scores_gemma":[0.9963679,0.002614047,0.0005197002,0.00008859979,0.0003856845,0.00002410152],"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":[0.005907117,0.0002232729,0.002111141,0.00002397475,0.0007719398,0.000004396188,0.008955939,0.003264737,0.00008009477,0.5934045,0.008958745,0.3762941],"study_design_scores_gemma":[0.005346563,0.01159162,0.04445162,0.0006570358,0.0002221156,0.0004686192,0.0008336221,0.1248563,0.01291049,0.3313411,0.46659,0.0007308617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615255,0.0000116635,0.0292218,0.007297506,0.0007538615,0.000329316,0.00005566746,0.000004800735,0.0007998804],"genre_scores_gemma":[0.9932747,0.00005747433,0.004730752,0.001219638,0.0005614091,0.00001859103,0.000001858696,0.000008692017,0.0001268545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4576313,"threshold_uncertainty_score":0.2450977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678913591488268,"score_gpt":0.310728441728317,"score_spread":0.2428370825794902,"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."}}