{"id":"W1600717849","doi":"","title":"Troubling Patterns in Canadian Refugee Adjudication","year":2008,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Adjudication; Immigration; Political science; Appeal; Law; Refugee law; Legislation; Criminology; Sociology","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":[0.03080134,0.0003941841,0.0007271833,0.01072325,0.0127159,0.005302371,0.003771495,0.001478427,0.00246466],"category_scores_gemma":[0.09274129,0.0007360504,0.0006412516,0.01525498,0.005009749,0.001200086,0.00570801,0.002232113,0.0003753069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05351767,"about_ca_system_score_gemma":0.05394438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9510022,"about_ca_topic_score_gemma":0.9819948,"domain_scores_codex":[0.9401011,0.009206452,0.00513094,0.0055404,0.03089914,0.009121844],"domain_scores_gemma":[0.919898,0.02408214,0.01735912,0.006231991,0.02823612,0.004192584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003417551,0.0001078524,0.5259948,0.0007368498,0.0002063107,0.001587178,0.1870289,0.0009095062,0.002807991,0.05189676,0.04222099,0.1861611],"study_design_scores_gemma":[0.00002295964,0.00005394352,0.8180978,0.0004772144,0.00006193892,0.0005432687,0.06491357,0.0009218814,0.001726607,0.002830113,0.1101078,0.0002427751],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061283,0.004964721,0.005959585,0.02729634,0.0004709441,0.0004414624,0.004661773,0.0001749732,0.04990177],"genre_scores_gemma":[0.9811291,0.001718536,0.003102051,0.002935508,0.00006108735,0.0001382118,0.001603975,0.00007637937,0.009235123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05351767,"threshold_uncertainty_score":0.3882997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184454622439672,"score_gpt":0.1878477647357107,"score_spread":0.166003218511314,"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."}}