{"id":"W4210332126","doi":"10.32920/19083380.v1","title":"Refugee claimants and access to permanent housing in the City of Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Geographer; Immigration; Context (archaeology); Sociology; Qualitative research; Service provider; Affordable housing; Political science; Public relations; Economic growth; Service (business); Geography; Business; Social science; Law; Marketing; Cartography","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":[0.0008562094,0.0002255193,0.0002765584,0.0006296395,0.01057837,0.003176822,0.0009641608,0.0006349116,0.007741496],"category_scores_gemma":[0.002674648,0.0002641132,0.0002936121,0.001621351,0.004273475,0.0009394792,0.003599936,0.001261944,0.0002217437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02697255,"about_ca_system_score_gemma":0.02891032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9574879,"about_ca_topic_score_gemma":0.9838941,"domain_scores_codex":[0.9989977,0.0002058205,0.00004685316,0.00007035036,0.0001687503,0.0005105211],"domain_scores_gemma":[0.9978042,0.0002532598,0.0003490582,0.00006202731,0.0003084758,0.00122293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001522241,0.0000862735,0.3314812,0.0004705756,0.00005453452,0.005226197,0.6193625,0.0003261264,0.0008607393,0.008683779,0.01565669,0.01763911],"study_design_scores_gemma":[0.000006163676,0.00003440243,0.2224151,0.0003176902,0.00001599671,0.0003609126,0.7644286,0.00009360151,0.00005174014,0.0001573076,0.01209055,0.0000280436],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857029,0.001331528,0.00003476322,0.003561377,0.00005234529,0.00001958883,0.0001899109,0.000003810506,0.009103763],"genre_scores_gemma":[0.9970337,0.001038572,0.00004049746,0.0001784146,0.000007670207,0.000009056652,0.00008183061,0.000003363913,0.001606856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04251212,"threshold_uncertainty_score":0.1957005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614879282769134,"score_gpt":0.3915423869843657,"score_spread":0.3300544587074523,"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."}}