{"id":"W2065507485","doi":"10.1093/jrs/fel016","title":"Settling Like a State: Acehnese Refugees in Vancouver","year":2006,"lang":"en","type":"article","venue":"Journal of Refugee Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Australian Government","keywords":"Refugee; State (computer science); Library science; Sociology; Media studies; Political science; Law; Computer science","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":[0.0004972497,0.0004701266,0.0004746873,0.0007409595,0.01927079,0.00385982,0.001181241,0.001080057,0.002698252],"category_scores_gemma":[0.001214169,0.0004865292,0.000215485,0.001729988,0.003760593,0.0008332545,0.004435321,0.002578892,0.0002869017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01440471,"about_ca_system_score_gemma":0.02087365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255893,"about_ca_topic_score_gemma":0.987731,"domain_scores_codex":[0.999206,0.0001317081,0.00002536646,0.00007434735,0.000169413,0.0003932217],"domain_scores_gemma":[0.9991832,0.00007534601,0.00006909004,0.00002415253,0.0002092865,0.0004388934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001610248,0.0002026765,0.107575,0.0002287286,0.00003815522,0.01113635,0.8484698,0.0001046294,0.001895166,0.001367509,0.005204255,0.02361675],"study_design_scores_gemma":[0.000003438825,0.00002912041,0.02343241,0.00006556756,0.000005759761,0.0005276577,0.9682047,0.00001828975,0.0000543372,0.00004719935,0.007594544,0.00001698875],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928231,0.0004236618,0.00002409529,0.0007075098,0.0000330475,0.00003926928,0.00005485373,0.000002518401,0.005891871],"genre_scores_gemma":[0.9860556,0.001656672,0.0001286738,0.0009387535,0.000009209028,0.00003572728,0.0001119348,0.000009476631,0.01105399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07441074,"threshold_uncertainty_score":0.1496978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619110140044483,"score_gpt":0.3365131748576778,"score_spread":0.320322073457233,"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."}}