{"id":"W4293546654","doi":"10.3390/socsci11090387","title":"Human-Centred Design in UK Asylum Social Protection","year":2022,"lang":"en","type":"article","venue":"Social Sciences","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Economic and Social Research Council; Cara; UK Research and Innovation","keywords":"Social protection; Human rights; Refugee; Social policy; Scholarship; Political science; Equity (law); Social inequality; Sociology; Poverty; Context (archaeology); Economic growth; Inequality; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03232522,0.0007291829,0.0005202827,0.002002374,0.01252011,0.01518149,0.002136645,0.00544944,0.01462452],"category_scores_gemma":[0.02065638,0.0005190592,0.0006239399,0.001853372,0.05001473,0.005826613,0.01457424,0.003836981,0.001376367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02499237,"about_ca_system_score_gemma":0.01942611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180945,"about_ca_topic_score_gemma":0.02108024,"domain_scores_codex":[0.9475102,0.04532686,0.0009313176,0.001558499,0.002489048,0.00218414],"domain_scores_gemma":[0.9787814,0.01542641,0.001065328,0.002002622,0.001436129,0.001288116],"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":[0.00004526111,0.00003496253,0.0006055852,0.0004211471,0.000008763462,0.0002499231,0.1061542,0.0007286828,0.00019546,0.8582435,0.00692849,0.02638405],"study_design_scores_gemma":[0.0000644599,0.0002338272,0.001627875,0.001580442,0.00002142162,0.0002860158,0.09137233,0.0006627918,0.0005939738,0.2289569,0.6745427,0.0000572085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08673029,0.01773604,0.09843153,0.1079731,0.003994735,0.00110479,0.0001265248,0.0002836535,0.6836194],"genre_scores_gemma":[0.9038046,0.003627014,0.02065182,0.007601758,0.0002412366,0.001259513,0.00003514399,0.0001334434,0.06264541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03232522,"threshold_uncertainty_score":0.1813332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2628060214450802,"score_gpt":0.4592805235458396,"score_spread":0.1964745021007594,"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."}}