{"id":"W4250397087","doi":"10.32920/14637879","title":"The Role of Ethnic Retailing in Retrofitting Suburbia: Case Studies from Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Ethnic group; Settlement (finance); Immigration; Business; Economic growth; Geography; Engineering; Political science; Finance; Economics; Archaeology","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":[0.001381073,0.0005712457,0.0004425177,0.001654422,0.01869709,0.003746477,0.001875445,0.001022622,0.002702469],"category_scores_gemma":[0.002231579,0.0003281354,0.0004377442,0.004603118,0.00582132,0.001142201,0.003465089,0.001266701,0.0002104197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05999343,"about_ca_system_score_gemma":0.04190566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784681,"about_ca_topic_score_gemma":0.9961695,"domain_scores_codex":[0.9982737,0.0006439646,0.00005143173,0.0001067815,0.0002418174,0.0006822729],"domain_scores_gemma":[0.9980195,0.0005076881,0.0002114258,0.0001424444,0.0005391357,0.0005797933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001420849,0.0002477223,0.1061002,0.0002970921,0.00004106709,0.01550478,0.8380646,0.00135362,0.001485086,0.008239253,0.003172335,0.02535219],"study_design_scores_gemma":[0.000007533501,0.00006327141,0.05083965,0.0001057331,0.00002250274,0.0005254171,0.9297557,0.0004648077,0.0003496504,0.000159753,0.01768276,0.00002319533],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990677,0.0003542944,0.0001495112,0.0003379958,0.000008067378,0.0000532407,0.00006955546,0.000005963018,0.008344444],"genre_scores_gemma":[0.9948028,0.0006805005,0.0004036941,0.0000927533,0.000003130758,0.00002062739,0.00006309399,0.0000104152,0.00392311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05999343,"threshold_uncertainty_score":0.4352849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525447965850932,"score_gpt":0.3265212024263811,"score_spread":0.2812667227678718,"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."}}