{"id":"W2153550522","doi":"10.1111/j.1541-0064.2009.00264.x","title":"Immigrants and homelessness—at risk in Canada's outer suburbs","year":2009,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Residence; Immigration; Affordable housing; Metropolitan area; Renting; Demographic economics; Housing tenure; Rental housing; Census; Public housing; Household income; Economic growth; Geography; Socioeconomics; Business; Political science; Economics; Sociology; Population; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004537842,0.0002858339,0.0003100082,0.001374788,0.01363148,0.002755065,0.0008953041,0.0005030394,0.003137437],"category_scores_gemma":[0.001323769,0.0002635673,0.0003015728,0.002875935,0.003150916,0.0007728268,0.004018197,0.001242871,0.0001465875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0275506,"about_ca_system_score_gemma":0.05687381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925181,"about_ca_topic_score_gemma":0.9974553,"domain_scores_codex":[0.9992061,0.00008035754,0.00001700649,0.00004019293,0.0001462163,0.0005100776],"domain_scores_gemma":[0.9988909,0.00005602724,0.0001840019,0.00001859578,0.0002362622,0.00061421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001268759,0.0001339526,0.6278921,0.0001414194,0.00004036303,0.001898882,0.3213661,0.000143394,0.0006074735,0.003126988,0.009172586,0.03534992],"study_design_scores_gemma":[0.000006356324,0.00003987061,0.523195,0.0002196667,0.00001664426,0.0002733521,0.4619644,0.0001197576,0.00007719587,0.0002362714,0.01381878,0.00003266946],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905463,0.0008107286,0.00003251125,0.001790596,0.00003506829,0.00003161257,0.0001981197,0.000004472589,0.006550605],"genre_scores_gemma":[0.9960802,0.001029247,0.00005140448,0.0002956513,0.000009044704,0.0000094203,0.000116774,0.000003793259,0.002404566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0275506,"threshold_uncertainty_score":0.1998946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101331378669195,"score_gpt":0.2531741451645663,"score_spread":0.2421608313778743,"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."}}