{"id":"W2970854116","doi":"10.1111/tesg.12383","title":"Ethnic Entrepreneurship and Placemaking in Toronto's Ethnic Retail Neighbourhoods","year":2019,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ethnic group; Placemaking; Embeddedness; Entrepreneurship; Context (archaeology); Economic geography; Immigration; Sociology; Business; Geography; Urban planning; Urban design; Social science; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002785713,0.0003278867,0.0006028212,0.0001198919,0.000378493,0.0001919596,0.0004822094,0.0005945414,0.01073087],"category_scores_gemma":[0.0003260251,0.0003918207,0.0002004511,0.0002544784,0.0002802565,0.001137758,0.0001598548,0.0005153998,0.0005222991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564692,"about_ca_system_score_gemma":0.000469895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03922675,"about_ca_topic_score_gemma":0.4031865,"domain_scores_codex":[0.9967986,0.0006228426,0.0006548077,0.0007817586,0.0002147365,0.0009272512],"domain_scores_gemma":[0.9982052,0.0006974921,0.0003127534,0.0004306408,0.00006565601,0.0002882208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000138532,0.0002163425,0.7224135,0.0001252573,0.00017841,0.000009254707,0.1293552,0.00006688543,0.000255213,0.08034234,0.00110779,0.06579123],"study_design_scores_gemma":[0.003901134,0.0001737066,0.8004664,0.0001243439,0.00009642897,0.000004279048,0.06917506,0.0004134379,0.0001482554,0.00438562,0.1195241,0.00158723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7747486,0.00333766,0.000009866745,0.0009754716,0.0005729169,0.0006507945,0.000009485017,0.0001195924,0.2195757],"genre_scores_gemma":[0.984755,0.002318416,0.0001465216,0.0004855257,0.0008401378,0.00007213352,0.00001843842,0.00004311614,0.01132073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3639597,"threshold_uncertainty_score":0.9998534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894414293872337,"score_gpt":0.3080287721909011,"score_spread":0.2790846292521777,"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."}}