{"id":"W4384273508","doi":"10.32920/23677209","title":"Refugee women & housing insecurity in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Immigration; Context (archaeology); Immigration policy; Political science; Economic growth; Racialization; Politics; Geography; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006511065,0.0002283316,0.0003066372,0.001620606,0.0125077,0.003097614,0.0007185784,0.0004880569,0.01143422],"category_scores_gemma":[0.001652187,0.0001876226,0.0002351587,0.003906608,0.003453026,0.0006889041,0.00317184,0.0009970559,0.0003523108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05293571,"about_ca_system_score_gemma":0.09340315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959024,"about_ca_topic_score_gemma":0.9980987,"domain_scores_codex":[0.9990563,0.00007412242,0.0000168895,0.0000603453,0.0002198499,0.0005724338],"domain_scores_gemma":[0.9990017,0.00007712488,0.0001002764,0.0000184196,0.0002537912,0.0005486926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001594589,0.0001615357,0.32972,0.0007976959,0.00006105942,0.002820006,0.3262105,0.0005383911,0.0007683514,0.04974264,0.1094919,0.1795285],"study_design_scores_gemma":[0.00001635035,0.00003719717,0.4076675,0.000857618,0.0000229611,0.0004271012,0.4204145,0.0001960145,0.0001419764,0.001451576,0.1686972,0.00006981384],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481598,0.01006898,0.0001686162,0.02317171,0.0002938322,0.00009753696,0.003068636,0.00003169244,0.1149392],"genre_scores_gemma":[0.9641381,0.006883746,0.0001931004,0.001599897,0.00002934303,0.00003682624,0.0004771152,0.00001627513,0.02662569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05293571,"threshold_uncertainty_score":0.3840773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225345643557222,"score_gpt":0.4274690446366202,"score_spread":0.304934480280898,"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."}}