{"id":"W4306160157","doi":"10.1177/01979183221112418","title":"Policy Change, Threat Perception, and Mobility Catalysts: The Trump Administration as Driver of Asylum Migration to Canada","year":2022,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Immigration; Political science; Enforcement; Immigration policy; Rhetoric; Immigration reform; Demographic economics; Criminology; Sociology; Law; Economics","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":[0.001029388,0.0001536926,0.000211642,0.0001313565,0.0006881699,0.00007365841,0.0003569535,0.00004392408,0.00079806],"category_scores_gemma":[0.0007411206,0.0001281186,0.00008965372,0.0005693052,0.0001000555,0.0003784934,0.00006077994,0.0001411857,0.00001227208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007197566,"about_ca_system_score_gemma":0.001205925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7039198,"about_ca_topic_score_gemma":0.9619985,"domain_scores_codex":[0.9974518,0.0004554623,0.0005798299,0.0003125181,0.001035295,0.0001650236],"domain_scores_gemma":[0.9986447,0.0001049424,0.0003302372,0.0002467276,0.0005675803,0.0001057998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003131548,0.0009718917,0.03801572,0.0008016786,0.0003243242,0.000008417025,0.1209092,0.0002371369,0.003141877,0.3613098,0.2563489,0.2176178],"study_design_scores_gemma":[0.0001710692,0.0001879636,0.04311985,0.0002174383,0.00005852037,0.00001536672,0.006246567,0.0002931994,0.000173899,0.001339641,0.947932,0.0002445073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72636,0.004989919,0.0003373482,0.2585305,0.001112012,0.00332561,0.0003378683,0.0000671451,0.004939598],"genre_scores_gemma":[0.9765555,0.0120949,0.00007876649,0.007505563,0.0004531959,0.0006596886,0.0004732995,0.0000103752,0.002168769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.691583,"threshold_uncertainty_score":0.8738197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198289658181395,"score_gpt":0.3347309554100075,"score_spread":0.3127480588281935,"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."}}