{"id":"W4241378125","doi":"10.32920/ryerson.14648829","title":"The crime-terror nexus in Canada: changing human trafficking operations and smuggling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nexus (standard); Terrorism; Refugee; Political science; Organised crime; Human trafficking; Criminology; Government (linguistics); Border Security; Human rights; National security; Computer security; Public administration; Law; Sociology; Engineering","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":[0.001319557,0.000384882,0.0004062724,0.002225683,0.01781773,0.007269179,0.001561085,0.001393234,0.006658531],"category_scores_gemma":[0.003838292,0.0003325215,0.000583583,0.005240007,0.005701719,0.001803403,0.003204088,0.002543919,0.000329548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2457201,"about_ca_system_score_gemma":0.3943864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991211,"about_ca_topic_score_gemma":0.9995722,"domain_scores_codex":[0.9968526,0.0002591548,0.00004756807,0.0002091058,0.000851049,0.001780568],"domain_scores_gemma":[0.9964645,0.0002455824,0.0002632788,0.00008240285,0.001589094,0.001355156],"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":[0.0003516132,0.0002394406,0.2623665,0.0008252573,0.0001596798,0.002408466,0.07847507,0.004052216,0.001565599,0.2824008,0.1998161,0.1673393],"study_design_scores_gemma":[0.00003855239,0.00007623168,0.4223945,0.0008572638,0.0001088873,0.0003268919,0.1804601,0.002919673,0.0009498824,0.01119545,0.3804612,0.0002113658],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.646881,0.009718012,0.002125165,0.1389402,0.0006892354,0.0002277824,0.005441296,0.0001281407,0.1958491],"genre_scores_gemma":[0.9555362,0.006285559,0.00141512,0.005037689,0.00004592602,0.00003804204,0.0009560598,0.00004690366,0.03063856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2457201,"threshold_uncertainty_score":0.8748578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652492671679691,"score_gpt":0.3060889838907311,"score_spread":0.2695640571739342,"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."}}