{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003480322,0.0003275218,0.0004680839,0.006139197,0.02296441,0.006561172,0.002868697,0.0009403618,0.00336537],"category_scores_gemma":[0.01138744,0.0004919626,0.0003229842,0.009204933,0.01142285,0.002044881,0.008266909,0.002775279,0.0001976733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09038867,"about_ca_system_score_gemma":0.114088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920503,"about_ca_topic_score_gemma":0.9957408,"domain_scores_codex":[0.9956675,0.0005773925,0.0001455968,0.0003949215,0.001094876,0.002119743],"domain_scores_gemma":[0.9914521,0.001023756,0.00211899,0.0004440058,0.002993236,0.001967764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001216697,0.00009272759,0.6029891,0.00007691883,0.00002339185,0.0008230812,0.3551182,0.0002757239,0.000309605,0.01250406,0.004611358,0.02305415],"study_design_scores_gemma":[0.000003542512,0.0000243954,0.2803936,0.0001904007,0.00001217902,0.0001534711,0.7063604,0.0004413866,0.00016661,0.0007397719,0.0114677,0.00004656989],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909445,0.0002459,0.0002276058,0.001623532,0.00002471346,0.00006957889,0.000324771,0.000005329498,0.006534164],"genre_scores_gemma":[0.998253,0.0002139412,0.0001864215,0.0001188287,0.000003586563,0.00002237478,0.0001346925,0.000006277624,0.001060884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09038867,"threshold_uncertainty_score":0.6558188,"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."}}