{"id":"W4249236666","doi":"10.32920/ryerson.14647488.v1","title":"Changes in Chinese supermarket development in the Toronto CMA : a case study of T &amp; T Supermarket","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Ethnic group; Mainstream; Chinese market; Business; Advertising; China; Customer base; Marketing; Geography; Political science","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":[0.0005488461,0.0003622617,0.0002279455,0.001362222,0.007364951,0.001564147,0.0008464205,0.0006899097,0.002699752],"category_scores_gemma":[0.00114625,0.0002419134,0.0003941243,0.004175717,0.003296757,0.000869589,0.002042702,0.0007416826,0.0001579023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0252766,"about_ca_system_score_gemma":0.01023126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8302402,"about_ca_topic_score_gemma":0.9392204,"domain_scores_codex":[0.9993945,0.000176454,0.00001842127,0.00005437236,0.0001072515,0.0002489276],"domain_scores_gemma":[0.9989946,0.0001923641,0.0001849485,0.00006581311,0.0001664966,0.0003957496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000188413,0.0002246207,0.3804629,0.0002162304,0.0000574885,0.04228511,0.5465811,0.0009009393,0.002324915,0.006139807,0.00362933,0.01698915],"study_design_scores_gemma":[0.000009609247,0.0001006323,0.4144923,0.00007716657,0.0000274464,0.002047535,0.5723694,0.0007037658,0.0005059993,0.0002019856,0.009422525,0.00004165608],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972831,0.00007912394,0.00003084493,0.0001797523,0.000002459391,0.00001441597,0.00009083274,0.000001476777,0.002318073],"genre_scores_gemma":[0.9978708,0.0002408934,0.0001044798,0.00004490923,0.000003124631,0.00001363123,0.00007410525,0.000002581409,0.001645532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1697598,"threshold_uncertainty_score":0.3415191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04824623454923192,"score_gpt":0.3361754530531684,"score_spread":0.2879292185039364,"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."}}