{"id":"W7137624316","doi":"","title":"Grey Zone Enablers:The impact of Canada's Pacific Rim strategy on the Vancouver model of money laundering","year":2023,"lang":"en","type":"dissertation","venue":"Research Explorer (The University of Manchester)","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Pacific Rim; Pacific Area; Money laundering; Irregular migration","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001301136,0.0002730893,0.0002381781,0.001525233,0.005554145,0.005628304,0.0007395712,0.0004445492,0.004833257],"category_scores_gemma":[0.006694487,0.0001485437,0.0002785058,0.00222802,0.006647143,0.001772491,0.003619571,0.001239278,0.0001837548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04037562,"about_ca_system_score_gemma":0.04751007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9389614,"about_ca_topic_score_gemma":0.9541001,"domain_scores_codex":[0.9989067,0.0003245894,0.00002234945,0.0001064918,0.0002453758,0.0003943807],"domain_scores_gemma":[0.997301,0.0009006817,0.0004025237,0.0001715912,0.0007074442,0.0005166235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001816908,0.00009129101,0.3572946,0.000162127,0.00008668783,0.0008744997,0.1829043,0.006917774,0.0006398812,0.3838508,0.01133315,0.05566324],"study_design_scores_gemma":[0.00002304168,0.00006321131,0.4319988,0.000464795,0.0001413952,0.0001665779,0.4212628,0.02384754,0.000703681,0.05108753,0.07012526,0.0001154342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819342,0.0002993032,0.002243643,0.006265221,0.00002755597,0.00007803353,0.0003235092,0.00002832242,0.1088002],"genre_scores_gemma":[0.9968244,0.0001228753,0.0002848343,0.0000588211,0.000002121199,0.00001135358,0.00004524872,0.000006723601,0.002643678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103861,"threshold_uncertainty_score":0.292947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350300067509972,"score_gpt":0.3316784137812496,"score_spread":0.1966484070302524,"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."}}