{"id":"W3004401024","doi":"10.1108/jfc-05-2019-0056","title":"Using the risk-based approach to curb modern slavery in the supply chain","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Crime","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Terrorism; Task force; Transparency (behavior); Finance; Accounting; Business; Economics; Law; Public administration; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701922,0.0001682327,0.0004451777,0.0002008557,0.000187966,0.00009540067,0.0007137897,0.00008085839,0.0000121987],"category_scores_gemma":[0.0005210366,0.0001204945,0.0002554745,0.0006332299,0.00004500539,0.0002022166,0.00005330113,0.00053673,0.00004592091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009427278,"about_ca_system_score_gemma":0.0001000867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002368028,"about_ca_topic_score_gemma":0.00001592929,"domain_scores_codex":[0.9983912,0.00006842208,0.000853766,0.0002259515,0.0001340152,0.0003266463],"domain_scores_gemma":[0.998868,0.00006375561,0.0006901086,0.0002467559,0.00005989772,0.00007143477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001711176,0.001588263,0.2554178,0.000239593,0.0001325178,0.00027357,0.04729066,0.2140151,0.0002051392,0.4104685,0.03395891,0.03469876],"study_design_scores_gemma":[0.003189825,0.0009179501,0.6620619,0.000104652,0.00008034093,0.00002564585,0.0008091278,0.0966813,0.0001658388,0.04671415,0.188385,0.000864258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7282886,0.002705918,0.2521731,0.005901837,0.0006908462,0.0006926467,0.0001016631,0.00001158873,0.009433829],"genre_scores_gemma":[0.9907576,0.0001068769,0.002426589,0.005926226,0.0007345459,0.000009359556,0.000001189934,0.00001857045,0.00001897975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4066442,"threshold_uncertainty_score":0.4913624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06706904968853761,"score_gpt":0.2437712955867272,"score_spread":0.1767022458981896,"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."}}