{"id":"W2795726416","doi":"10.1111/imig.12450","title":"Safe Country of Origin: Constructing the Irregularity of Asylum Seekers in Canada","year":2018,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Persecution; Torture; Unintended consequences; Political science; Government (linguistics); Comprehensive Plan of Action; Timeline; Asylum seeker; Criminology; Law; Human rights; Public administration; Sociology; Geography; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002622992,0.00006465158,0.0001038878,0.00007143798,0.0000342536,0.000005763588,0.0001583456,0.00004467087,0.0006284277],"category_scores_gemma":[0.00007898714,0.00005438228,0.00002152094,0.0001555218,0.0001018568,0.00006977421,0.00001028656,0.00009409267,0.000007736136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749209,"about_ca_system_score_gemma":0.0005337112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8634283,"about_ca_topic_score_gemma":0.9881533,"domain_scores_codex":[0.9990062,0.00007202492,0.0004194586,0.0001262673,0.0002618093,0.0001142298],"domain_scores_gemma":[0.999182,0.0001328404,0.0002519586,0.0001436955,0.0002635941,0.00002589062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001394786,0.00004929635,0.9250422,0.00001860245,0.00005483855,0.000001788045,0.004440613,0.00002620296,0.000531446,0.05994431,0.004962771,0.004788476],"study_design_scores_gemma":[0.0007115732,0.00006085354,0.9702358,0.00004663347,0.000009852014,0.00001950344,0.005693352,0.001237585,0.00160518,0.0011267,0.01916113,0.000091868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869659,0.00005328294,0.0002984419,0.001047552,0.001591099,0.0001433151,0.00006841381,0.000004419579,0.009827592],"genre_scores_gemma":[0.9991096,0.000005460679,0.0002335993,0.0002320914,0.0001797507,0.00001054548,0.00004740818,0.000004480692,0.0001770291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124725,"threshold_uncertainty_score":0.6880842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521063050485599,"score_gpt":0.303438684199383,"score_spread":0.288228053694527,"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."}}