{"id":"W2768834689","doi":"10.1108/jmlc-12-2016-0050","title":"The terrorist resourcing model applied to Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Money Laundering Control","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"","keywords":"Terrorism; Money laundering; Originality; Value (mathematics); Cash; Al qaeda; Public relations; Profit (economics); Business; Economics; Political science; Finance; Sociology; Law; Qualitative research; Social 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":[0.00124381,0.0004282409,0.000323156,0.002096782,0.004683347,0.003196195,0.00123733,0.0006898676,0.008645379],"category_scores_gemma":[0.00414086,0.0001393404,0.0004904933,0.003361762,0.002985286,0.001164911,0.00207627,0.001020641,0.0002876228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09720418,"about_ca_system_score_gemma":0.1130941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919402,"about_ca_topic_score_gemma":0.9902059,"domain_scores_codex":[0.9986473,0.0003216956,0.00003456845,0.0001621066,0.0002876744,0.000546811],"domain_scores_gemma":[0.9983297,0.0003420386,0.0001614879,0.0001063215,0.0007528524,0.0003075441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008032581,0.00007677011,0.04367212,0.0001894211,0.00004642623,0.000863424,0.006987048,0.04147308,0.0002206927,0.8637038,0.01340053,0.0292862],"study_design_scores_gemma":[0.0002081972,0.0001849601,0.1158467,0.0008867576,0.0002647562,0.000730823,0.07023875,0.2325445,0.0009103449,0.2366654,0.3412409,0.0002779344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3772675,0.001308678,0.01509498,0.01396478,0.00012526,0.0009331139,0.004498015,0.0001500499,0.5866576],"genre_scores_gemma":[0.975253,0.0005758015,0.005553158,0.0002708168,0.00001009003,0.0001774331,0.0003560554,0.00001489504,0.01778873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09720418,"threshold_uncertainty_score":0.705269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008767369791133,"score_gpt":0.2769912750864444,"score_spread":0.2569036013885331,"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."}}