{"id":"W7039603184","doi":"","title":"Money Laundering in Canada: Chasing Dirty and Dangerous Dollars","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Money laundering; Government (linguistics); Payment; Investment (military)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001232276,0.0002794181,0.0003676414,0.001261982,0.02091154,0.006967837,0.001605249,0.003022512,0.01463805],"category_scores_gemma":[0.006586882,0.0003251446,0.000220841,0.002967793,0.005661905,0.002041565,0.002783104,0.004877127,0.0008231469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06137554,"about_ca_system_score_gemma":0.1169402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931815,"about_ca_topic_score_gemma":0.998197,"domain_scores_codex":[0.9978922,0.0002287012,0.00002929729,0.0001069561,0.0005962298,0.001146671],"domain_scores_gemma":[0.9950637,0.0004438457,0.0003843568,0.00007588331,0.001760995,0.00227122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002729853,0.0002275582,0.1353832,0.0001960618,0.00007301811,0.002243479,0.126376,0.000550956,0.0005558361,0.08621431,0.4689625,0.1789442],"study_design_scores_gemma":[0.00003090963,0.0000482758,0.1636013,0.0005590388,0.00006175853,0.0004739739,0.3750865,0.0007250358,0.0003133643,0.005729039,0.4532434,0.0001273599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5813419,0.009586979,0.0005698,0.1731914,0.001444624,0.00007938184,0.0008585331,0.00009723182,0.2328302],"genre_scores_gemma":[0.9393431,0.003138614,0.0004881552,0.00800513,0.000113757,0.00001730099,0.0001622782,0.00007713468,0.04865453],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06137554,"threshold_uncertainty_score":0.4453127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464193123667386,"score_gpt":0.1892488738872103,"score_spread":0.1646069426505365,"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."}}