{"id":"W2074394425","doi":"10.4018/jagr.2013010104","title":"Recent Trends of Ethnic Chinese Retailing in Metropolitan Toronto","year":2013,"lang":"en","type":"article","venue":"International Journal of Applied Geospatial Research","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"","keywords":"Ethnic group; Metropolitan area; Redress; Immigration; Mainstream; Economic geography; Geography; Scale (ratio); Population; Business; Economy; Political science; Sociology; Cartography; Economics","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":[0.0002330474,0.0001859167,0.0001597134,0.001890715,0.001835589,0.001428437,0.0006320354,0.0002613614,0.003752173],"category_scores_gemma":[0.0008667033,0.0001603942,0.0002397692,0.005650472,0.0008228614,0.0004435059,0.0009967397,0.0003299954,0.0002402829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01423841,"about_ca_system_score_gemma":0.007036547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9560167,"about_ca_topic_score_gemma":0.9856086,"domain_scores_codex":[0.999696,0.00002936139,0.00002129105,0.00004311414,0.00009259405,0.0001175849],"domain_scores_gemma":[0.9987238,0.00007465499,0.0003494962,0.0000318668,0.0004828052,0.0003373123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001110693,0.00002156131,0.958892,0.0001519841,0.00004066842,0.0005625587,0.02186555,0.0002090922,0.001178139,0.001222606,0.002946189,0.01279852],"study_design_scores_gemma":[0.000001279607,0.00001252133,0.967297,0.00002406617,0.00001378715,0.0001475034,0.0278834,0.0001958147,0.000122927,0.00003166553,0.004260035,0.000009988814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929726,0.0007104882,0.00006984715,0.0004149164,0.000008691901,0.000007067867,0.001569306,0.000009644262,0.004237349],"genre_scores_gemma":[0.9962914,0.0008954457,0.0001235496,0.00005182758,0.000006317246,0.000007129565,0.0007665422,0.000004509413,0.001853321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04398328,"threshold_uncertainty_score":0.1033073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06171382007366057,"score_gpt":0.4239127512757871,"score_spread":0.3621989312021266,"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."}}