{"id":"W4247136643","doi":"10.32920/ryerson.14647587","title":"Immigration and Anti-Terrorist Policies: An Analysis of Canada and the United Kingdom","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Securitization; Terrorism; Immigration; Nexus (standard); Refugee; Political science; Illegal immigration; Immigration policy; Immigration law; Political economy; Criminology; Development economics; Law; Sociology; Economics; Finance","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":[0.0009500078,0.0004626477,0.0007629298,0.005324505,0.00649059,0.005244496,0.001451429,0.001171146,0.004362538],"category_scores_gemma":[0.006012404,0.0004284162,0.0008437861,0.01522591,0.001656207,0.0009999322,0.002253089,0.001132983,0.0003649761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1280145,"about_ca_system_score_gemma":0.09184016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990063,"about_ca_topic_score_gemma":0.9990926,"domain_scores_codex":[0.9975193,0.0001752956,0.00008790088,0.0001446001,0.0007259809,0.001346927],"domain_scores_gemma":[0.9941236,0.0007190172,0.0006992047,0.0001089859,0.003012238,0.001336872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008320516,0.0002898772,0.8500095,0.0006068857,0.0004368578,0.003963728,0.02334241,0.01045432,0.0007956309,0.03875365,0.02081328,0.04970175],"study_design_scores_gemma":[0.00005487198,0.00005201739,0.9305448,0.0003309236,0.0001383681,0.0002135169,0.03508347,0.003238011,0.0002605328,0.0005259962,0.02945934,0.00009815761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616845,0.006505682,0.0001647316,0.002713687,0.00004200174,0.00006870344,0.002820746,0.00001895164,0.02598101],"genre_scores_gemma":[0.9876315,0.003687497,0.0002673271,0.0003667431,0.000009009435,0.00001928453,0.001617001,0.00001761324,0.006383978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280145,"threshold_uncertainty_score":0.9288143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172055552332374,"score_gpt":0.3312439290615974,"score_spread":0.2995233735382737,"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."}}