{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002625205,0.0002341782,0.0006548891,0.0001595444,0.0008829089,0.00002474406,0.0008087432,0.00007425058,0.06017321],"category_scores_gemma":[0.001812139,0.000241958,0.0003346216,0.0009878922,0.0003876466,0.0002608658,0.0001781479,0.0004321748,0.0002205329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989871,"about_ca_system_score_gemma":0.002296547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121799,"about_ca_topic_score_gemma":0.0150705,"domain_scores_codex":[0.9965369,0.0006782588,0.001265758,0.0004456929,0.0007118482,0.0003615897],"domain_scores_gemma":[0.9974778,0.0006932238,0.0009363621,0.0004309395,0.0002093915,0.0002522419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000544403,0.01108195,0.08042722,0.001099971,0.000224184,0.000001430781,0.2624505,0.0001496519,0.00008577194,0.1702856,0.3274342,0.1467051],"study_design_scores_gemma":[0.0002246582,0.00007837726,0.05252614,0.00009879971,0.0000874689,0.00000321685,0.006022567,0.000105055,0.00000492292,0.02469555,0.9158587,0.0002945003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5544213,0.3132104,0.00007251876,0.09860858,0.01725169,0.002975975,0.00175213,0.00003079234,0.0116766],"genre_scores_gemma":[0.8478766,0.1186763,0.004086906,0.002294166,0.01129358,0.0008582144,0.002571232,0.00005710859,0.01228583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5884246,"threshold_uncertainty_score":0.986676,"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."}}