{"id":"W3138766421","doi":"10.4018/978-1-7998-8758-4.ch003","title":"Money Laundering in Real Estate (RE)","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Money laundering; Real estate; Commission; Order (exchange); Law enforcement; Government (linguistics); Business; Investment (military); Enforcement; Financial system; Finance; Economics; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000277087,0.0003730946,0.0002346022,0.00114051,0.004884286,0.006035541,0.0005386886,0.001106766,0.01117976],"category_scores_gemma":[0.001012194,0.0001499648,0.0001646655,0.003156252,0.004192701,0.002336325,0.001175564,0.001553655,0.00135404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02029112,"about_ca_system_score_gemma":0.018785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6736963,"about_ca_topic_score_gemma":0.8651298,"domain_scores_codex":[0.9994506,0.00004581695,0.00001092061,0.0000472928,0.0003086199,0.0001367497],"domain_scores_gemma":[0.9995973,0.0001065795,0.00004865147,0.00002827525,0.0001562153,0.00006312224],"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":[0.00001210128,0.00002167499,0.001917951,0.0002234317,0.000003693887,0.000373846,0.01980795,0.0004061754,0.0002989474,0.5491098,0.2406581,0.1871664],"study_design_scores_gemma":[8.873396e-7,0.000004977708,0.004223703,0.0002756775,0.000003461224,0.0002636639,0.005353169,0.000127859,0.0002480003,0.01008665,0.9794018,0.00001015391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02039745,0.04723283,0.0009416468,0.007080604,0.0005916021,0.00004165929,0.0001840632,0.00007190595,0.9234582],"genre_scores_gemma":[0.2019326,0.05599555,0.001359985,0.001954919,0.0002435342,0.00002436675,0.0002546396,0.00009649836,0.7381379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6736963,"threshold_uncertainty_score":0.6564507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448067533900654,"score_gpt":0.248703057605999,"score_spread":0.2342223822669925,"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."}}