{"id":"W2734769774","doi":"10.2139/ssrn.920222","title":"A Cognitive Approach to Fraud Detection","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognition; Psychology; Computer science; Cognitive psychology; Business; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008994019,0.0001687656,0.0001757616,0.000344594,0.0002171127,0.00004036077,0.000152618,0.0001682035,0.000460796],"category_scores_gemma":[0.00002967011,0.0001604771,0.0001357273,0.0004383865,0.00006389905,0.0000790873,0.00001581444,0.001582102,0.001842325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381279,"about_ca_system_score_gemma":0.0001505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386684,"about_ca_topic_score_gemma":0.0005417046,"domain_scores_codex":[0.9971454,0.0001704279,0.0003122786,0.0003408933,0.0001927658,0.001838206],"domain_scores_gemma":[0.9994488,0.00003296552,0.0001317819,0.0001623098,0.0001152953,0.0001088746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001406138,0.001187942,0.001378183,0.000003409283,0.0005204438,0.00001527228,0.001172662,0.00005189122,0.002386761,0.326234,0.009735974,0.6559073],"study_design_scores_gemma":[0.01312373,0.005504337,0.1081749,0.00003651928,0.0002914581,0.03000897,0.03718388,0.000142845,0.0009818801,0.6437381,0.1589538,0.001859624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2985576,0.000476935,0.4588802,0.000263961,0.001868275,0.0002398798,0.000003036464,0.0001294957,0.2395807],"genre_scores_gemma":[0.9773079,0.00003259224,0.00009109732,0.0005576295,0.0009905498,0.00004229899,0.000004776269,0.00003111263,0.02094212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6787502,"threshold_uncertainty_score":0.9989349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282403901516077,"score_gpt":0.2905538280764791,"score_spread":0.2777297890613183,"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."}}