{"id":"W2996508898","doi":"","title":"Accommodating asylum: Improving the housing support system for refugee claimants in Canada","year":2019,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Asylum seeker; Political science; Business; Law","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":[0.002461484,0.0004256922,0.0003975656,0.001411955,0.01941656,0.004098617,0.004405803,0.00111324,0.004820489],"category_scores_gemma":[0.004600982,0.0003126772,0.0004323556,0.001709518,0.002576851,0.001380398,0.006635362,0.002059798,0.000394257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06546614,"about_ca_system_score_gemma":0.2479004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847389,"about_ca_topic_score_gemma":0.9955586,"domain_scores_codex":[0.9970832,0.0003861971,0.0000708108,0.00009837202,0.0004627173,0.001898648],"domain_scores_gemma":[0.9949831,0.0001452643,0.0002061707,0.00006617417,0.001028896,0.00357035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005717182,0.002756194,0.272582,0.001775952,0.000142332,0.007017773,0.2147215,0.002240519,0.006456061,0.01167632,0.06512664,0.4149329],"study_design_scores_gemma":[0.0001226858,0.0007058214,0.3813501,0.0009701232,0.00009036512,0.0006387742,0.5305645,0.001822695,0.000882525,0.0008649991,0.08182832,0.0001591097],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567102,0.001585553,0.000428967,0.02126157,0.0001836288,0.0007246085,0.0003199131,0.00004582664,0.01873983],"genre_scores_gemma":[0.986251,0.00217793,0.00191019,0.001845678,0.00002843161,0.0001641687,0.0002840545,0.00001254218,0.007326035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06546614,"threshold_uncertainty_score":0.4749923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227480845269179,"score_gpt":0.2240587028791431,"score_spread":0.2117838944264513,"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."}}