{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586728,0.0001479024,0.0003813558,0.0002840049,0.000333019,0.00006540992,0.0001918249,0.00007928019,0.00003193203],"category_scores_gemma":[0.0005546975,0.0001095662,0.0001333523,0.0004382897,0.0001984289,0.0006961719,0.0000278758,0.0002660879,0.000008329891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618577,"about_ca_system_score_gemma":0.0002246548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004725757,"about_ca_topic_score_gemma":0.1204238,"domain_scores_codex":[0.9979554,0.000239505,0.0007370622,0.0001438636,0.0006225551,0.0003015492],"domain_scores_gemma":[0.9984739,0.0001725092,0.0005183822,0.0001013331,0.0006734752,0.00006042335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005092295,0.0007629779,0.09166383,0.0001650759,0.0005266176,0.0002389657,0.1631111,0.002277026,0.002475153,0.02041506,0.6947546,0.0231003],"study_design_scores_gemma":[0.0007013385,0.0001728405,0.009513927,0.0002159001,0.00003612902,0.00000544494,0.01480811,0.00002219406,0.0003322665,0.01320406,0.9607663,0.0002215429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871501,0.007767911,0.0000930277,0.0006580003,0.001555172,0.000132896,0.00000318824,0.00002318872,0.002616483],"genre_scores_gemma":[0.9865614,0.00264315,0.0009405332,0.0001484432,0.001047849,0.000006005301,0.000001153357,0.00001402049,0.008637453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660116,"threshold_uncertainty_score":0.8956262,"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."}}