{"id":"W3137717997","doi":"","title":"Tracking Transnational Terrorist Resourcing Nodes And Networks","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Terrorism; Intermediary; Law enforcement; Business; Quality (philosophy); Tracking (education); Finance; Political science; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001256513,0.0002178417,0.0002057377,0.005413509,0.0008529588,0.002281723,0.0005180975,0.0005103027,0.002315332],"category_scores_gemma":[0.008542792,0.0001944767,0.0001705937,0.00631546,0.0008896574,0.003975854,0.002381922,0.0006868279,0.0007095125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258865,"about_ca_system_score_gemma":0.0008337426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303789,"about_ca_topic_score_gemma":0.02006672,"domain_scores_codex":[0.9989268,0.0003032121,0.0000655624,0.0002740678,0.0003078501,0.0001224382],"domain_scores_gemma":[0.992604,0.002821199,0.002424735,0.0008998667,0.0008885055,0.0003617137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001802038,0.0001358528,0.744966,0.0003778805,0.0001074006,0.000880975,0.03619851,0.009060211,0.004314522,0.08749547,0.00993546,0.1063475],"study_design_scores_gemma":[0.00002164101,0.0001423361,0.6916803,0.00057201,0.00008794544,0.001491613,0.08369967,0.04891215,0.006766404,0.02784388,0.1386705,0.0001116288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550059,0.0004784999,0.008697927,0.0005201031,0.00001829667,0.0001454331,0.005113814,0.00009262255,0.0299273],"genre_scores_gemma":[0.9852211,0.0005348613,0.007435395,0.00004334734,0.00001124342,0.0001392616,0.003044006,0.00003913616,0.00353159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303789,"threshold_uncertainty_score":0.02592403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009482141104975748,"score_gpt":0.2575161726943379,"score_spread":0.2480340315893621,"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."}}