{"id":"W7162660614","doi":"10.59236/emro.v24i10a7874","title":"Tale of Three Chinatowns","year":2022,"lang":"","type":"article","venue":"Educational Media Reviews Online","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinatown; Narrative; Immediacy; Gentrification; Appropriation; Wonder; Chinese americans; Spectacle; Casual","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":[0.0002915204,0.0006445798,0.0001608805,0.0005529101,0.01407784,0.002118143,0.0005660553,0.001035671,0.02391883],"category_scores_gemma":[0.00040528,0.0001971074,0.0002288237,0.0007233715,0.003233262,0.001627734,0.003108386,0.002899524,0.001107491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005557035,"about_ca_system_score_gemma":0.003169314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.101872,"about_ca_topic_score_gemma":0.3426603,"domain_scores_codex":[0.9998156,0.00003483901,0.000003653718,0.0000335973,0.00004535971,0.00006683838],"domain_scores_gemma":[0.9998541,0.00001238995,0.000006299228,0.000008093778,0.00002726539,0.00009180426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001353938,0.0001447902,0.006736792,0.0002325015,0.00002760956,0.004839454,0.4634911,0.0004368105,0.004928268,0.1150798,0.3369804,0.06696723],"study_design_scores_gemma":[0.000007250764,0.00005108398,0.005951788,0.0001587975,0.000008104279,0.0005112739,0.191178,0.000162444,0.0005792287,0.001513294,0.7998562,0.00002247771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4030786,0.00403107,0.002519274,0.0421586,0.003448756,0.0003188538,0.0007488559,0.0001902015,0.5435057],"genre_scores_gemma":[0.5267667,0.001964233,0.001622792,0.003308562,0.0001963509,0.0001301082,0.0003936623,0.000106013,0.4655116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.101872,"threshold_uncertainty_score":0.2025582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992056561131878,"score_gpt":0.3569669769043478,"score_spread":0.297046411293029,"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."}}