{"id":"W4297021574","doi":"10.32920/ryerson.14664948.v2","title":"Determining a refugee's identity by means of categorical principles : the role of evidence in the refugee determination process : a case study of the Immigration &amp; Refugee Board Documentation Centre","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Identity (music); Documentation; Immigration; Political science; Sociology; Law; Computer science","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":[0.02474954,0.000418573,0.0007460311,0.003281953,0.04249326,0.01298827,0.002779179,0.005396609,0.00267848],"category_scores_gemma":[0.03839928,0.0007202877,0.0005062039,0.003794288,0.02064051,0.004478514,0.009771471,0.006006396,0.0002661237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03234912,"about_ca_system_score_gemma":0.04805812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4142725,"about_ca_topic_score_gemma":0.661176,"domain_scores_codex":[0.9807248,0.0126811,0.0006945144,0.0006666822,0.002321136,0.002911643],"domain_scores_gemma":[0.9594889,0.03295636,0.001833187,0.001071398,0.002586873,0.002063354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000811316,0.0002011425,0.0170508,0.0002621819,0.00001462188,0.01611021,0.903003,0.0003000617,0.0006137386,0.0407026,0.001407924,0.02025256],"study_design_scores_gemma":[0.00001491371,0.00005199741,0.004881119,0.000430462,0.00001774119,0.001142668,0.9655396,0.0002166073,0.0005993532,0.001341846,0.02573225,0.00003138898],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525843,0.001576877,0.00246683,0.01249645,0.00005279567,0.0003914663,0.00007740467,0.000008199499,0.0303457],"genre_scores_gemma":[0.99019,0.001072902,0.002874697,0.000758751,0.00001305687,0.0001079898,0.00002812765,0.00001212928,0.004942285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4142725,"threshold_uncertainty_score":0.8237224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07027386582596461,"score_gpt":0.3881547118129813,"score_spread":0.3178808459870167,"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."}}