{"id":"W7047176979","doi":"","title":"Gains, losses and changes : resettlement of Somali women refugees in London and Toronto","year":2005,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Somali; Refugee; Immigration; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213995,0.0002863934,0.0003742279,0.001276155,0.005595616,0.002305609,0.00108369,0.0008719895,0.006103052],"category_scores_gemma":[0.002213811,0.000364763,0.0002585075,0.003860856,0.002542996,0.001447777,0.005204998,0.00136003,0.000484046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01660084,"about_ca_system_score_gemma":0.01096644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.908178,"about_ca_topic_score_gemma":0.9719177,"domain_scores_codex":[0.9993197,0.0001185688,0.0000403536,0.00004067103,0.00007613799,0.0004045913],"domain_scores_gemma":[0.99883,0.00008128673,0.0003348427,0.00004265467,0.0002171784,0.0004940199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002956754,0.00005442524,0.370179,0.0002068023,0.00004888413,0.002882138,0.6034486,0.0001476408,0.0004242874,0.001503135,0.006971249,0.01383811],"study_design_scores_gemma":[0.000005560396,0.00003632902,0.3123747,0.00008653452,0.00001062602,0.0001803755,0.6815943,0.00002801512,0.00005432095,0.00005919353,0.005553362,0.00001669111],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928526,0.0008790101,0.00002060986,0.00161076,0.0000191657,0.00002186547,0.0007260415,0.000003735529,0.0038663],"genre_scores_gemma":[0.9924388,0.001220312,0.000032443,0.0001906874,0.00000635233,0.00002496555,0.0002950867,0.000005408512,0.005785951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09182197,"threshold_uncertainty_score":0.1847254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630206907064329,"score_gpt":0.2885571314086391,"score_spread":0.2722550623379958,"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."}}