{"id":"W4254279526","doi":"10.32920/ryerson.14655711.v1","title":"Doubly flawed: Canada's refugee determination system in a post 9/11 era","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":"Refugee; Deportation; Immigration; Political science; Legislation; Terrorism; Immigration policy; Immigration law; Law; Public administration","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":[0.005149405,0.000272752,0.0003795188,0.001423618,0.03624886,0.01397914,0.002433358,0.004245153,0.004334814],"category_scores_gemma":[0.01260134,0.0004169579,0.0004698265,0.002557477,0.01320898,0.00227984,0.004212494,0.006217196,0.0003198918],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2016148,"about_ca_system_score_gemma":0.4690641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969309,"about_ca_topic_score_gemma":0.9981153,"domain_scores_codex":[0.9879139,0.001296281,0.0002183787,0.0007121442,0.004237799,0.005621581],"domain_scores_gemma":[0.9881619,0.001256923,0.0005816917,0.0005226352,0.005613334,0.003863603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001563718,0.0001106095,0.04361051,0.0001693954,0.00007092218,0.002024974,0.05957422,0.001643307,0.001160108,0.677412,0.1556206,0.05844696],"study_design_scores_gemma":[0.00008452826,0.0001206454,0.1002224,0.0004803596,0.0001376759,0.0004163429,0.09112483,0.002166058,0.001352866,0.02293363,0.7806152,0.0003454387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.403295,0.003602231,0.002818617,0.322749,0.001160773,0.0002573145,0.001205766,0.0001852552,0.264726],"genre_scores_gemma":[0.935003,0.00115388,0.001935665,0.02353686,0.00007625567,0.00004043097,0.0002192615,0.00005389606,0.03798077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2016148,"threshold_uncertainty_score":0.9260137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300233011137643,"score_gpt":0.2700842509271765,"score_spread":0.2570819208158001,"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."}}