{"id":"W2913651641","doi":"10.32702/2307-2105-2018.10.61","title":"MODELING OF POTENTIAL FRAUDSTER'S PORTRAIT AND BANKING FRAUD VICTIM’S PORTRAIT","year":2018,"lang":"en","type":"article","venue":"Efektyvna ekonomika","topic":"Digital Transformation in Financial Services","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Portrait; Business; Art; Art history","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004622983,0.0004226446,0.0002544131,0.0009686522,0.001171861,0.002916181,0.001044908,0.001595201,0.0254485],"category_scores_gemma":[0.002765507,0.0003133762,0.000666272,0.0007548551,0.0008918614,0.002386672,0.001558423,0.001193491,0.00223369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972537,"about_ca_system_score_gemma":0.001171693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02457642,"about_ca_topic_score_gemma":0.02476162,"domain_scores_codex":[0.9997178,0.0001018487,0.00001159214,0.00005964783,0.00004964958,0.00005945791],"domain_scores_gemma":[0.999423,0.0002794586,0.00007548501,0.00004017153,0.00008894325,0.00009286578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006088717,0.0005281501,0.1445771,0.0005047589,0.0001194546,0.00589142,0.02183572,0.3934869,0.003047502,0.2982176,0.0425537,0.08862881],"study_design_scores_gemma":[0.00005552233,0.0001131501,0.02063636,0.0001545794,0.00007499901,0.001076338,0.01236598,0.8700488,0.0006897856,0.04611065,0.04859389,0.00008000523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6431559,0.001445208,0.07833301,0.008739235,0.0005202426,0.0003355263,0.002799559,0.0006274401,0.264044],"genre_scores_gemma":[0.9582384,0.0004573597,0.008709213,0.0001463733,0.00003705943,0.000132712,0.0007363569,0.00005189441,0.03149074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0254485,"threshold_uncertainty_score":0.08513373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029565519164038,"score_gpt":0.2041071176022736,"score_spread":0.1838114624106332,"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."}}