{"id":"W4392928280","doi":"10.32920/25417225.v1","title":"Refugee Status Determination in Canada: Ensuring Procedural Fairness at the Immigration and Refugee Board","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Refugee; Immigration; Political science; Plaintiff; Public administration; Law","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":[0.07762664,0.0003478173,0.000787099,0.002869423,0.04444966,0.01759966,0.004183094,0.004327747,0.00568896],"category_scores_gemma":[0.1161305,0.0008690191,0.0005774794,0.00270669,0.009762367,0.003055734,0.009144029,0.006271632,0.000767409],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1568739,"about_ca_system_score_gemma":0.5219268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843892,"about_ca_topic_score_gemma":0.991775,"domain_scores_codex":[0.9371427,0.01843971,0.002770466,0.003801009,0.02098933,0.01685676],"domain_scores_gemma":[0.898256,0.02320426,0.004831803,0.004728242,0.04862572,0.02035405],"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":[0.0005363631,0.0004686311,0.08525697,0.0006120414,0.00018491,0.002260349,0.1618067,0.004546751,0.004162832,0.3095551,0.1773649,0.2532445],"study_design_scores_gemma":[0.0002521172,0.0002572703,0.1626558,0.00187729,0.0001626869,0.0003915043,0.1378241,0.008347942,0.00359712,0.04229432,0.6416827,0.0006571563],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4318462,0.005438226,0.02919314,0.235129,0.001829321,0.003451279,0.0009600677,0.0004297109,0.291723],"genre_scores_gemma":[0.9166622,0.001579714,0.01784952,0.01630353,0.0001896828,0.0005210987,0.0002683685,0.0001133787,0.04651251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568739,"threshold_uncertainty_score":0.9779068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359118316221991,"score_gpt":0.2791544523660608,"score_spread":0.2655632692038409,"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."}}