{"id":"W4281755835","doi":"10.1080/15562948.2022.2080896","title":"Making the Match: Understanding the Destining Process of Government-Assisted Refugees in Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Immigrant & Refugee Studies","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"","keywords":"Refugee; Government (linguistics); Settlement (finance); Solidarity; Political science; Comprehensive Plan of Action; Economic growth; Immigration; Public relations; Public administration; Politics; Business; Law; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001664573,0.00014871,0.000402077,0.00007392353,0.0006235579,0.00001306259,0.0003935858,0.00002018457,0.00006538189],"category_scores_gemma":[0.0001854044,0.00008306699,0.0000901059,0.0004684487,0.00009481223,0.00006378023,0.00007770581,0.0005569935,3.765535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011967,"about_ca_system_score_gemma":0.0004720934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04677527,"about_ca_topic_score_gemma":0.6330487,"domain_scores_codex":[0.9973046,0.0003954899,0.0009511216,0.0001384925,0.0008812617,0.0003290368],"domain_scores_gemma":[0.997815,0.0007212842,0.00113304,0.0001952125,0.00009897915,0.00003651426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003851387,0.0005978518,0.4799581,0.0008614708,0.003480913,0.000849515,0.4298499,0.00460672,0.0003128226,0.01874426,0.03881255,0.01807451],"study_design_scores_gemma":[0.00136891,0.0003542386,0.1982106,0.0003069518,0.0001371628,0.0004820975,0.7890463,0.00004350732,0.00003040735,0.001364409,0.008488897,0.0001665142],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840204,0.01138517,0.00005570733,0.002913231,0.0008829093,0.0002066655,0.00002377116,0.000004035556,0.000508145],"genre_scores_gemma":[0.9991701,0.00009867839,0.00003493324,0.0004607106,0.0000838854,0.00003069653,4.165815e-7,0.00001437594,0.0001062217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5862734,"threshold_uncertainty_score":0.9595723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0855252611870749,"score_gpt":0.3675295848726876,"score_spread":0.2820043236856127,"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."}}