{"id":"W4292458206","doi":"10.5070/bp332052798","title":"How to Save Chinatown: Preserving affordability and community service through ethnic retail","year":2022,"lang":"en","type":"article","venue":"Berkeley Planning Journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinatown; Gentrification; Service (business); Business; Scrutiny; Ethnic group; Small business; Economic growth; Marketing; Political science; Economics; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005635498,0.0001409735,0.0002264254,0.00007665875,0.006856532,0.0003994102,0.0006704803,0.00007444451,0.0005961325],"category_scores_gemma":[0.0007423254,0.0001470391,0.00006740312,0.0004437734,0.00008473065,0.0007886079,0.0004166471,0.001619202,0.000004061496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475546,"about_ca_system_score_gemma":0.0002116212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006168364,"about_ca_topic_score_gemma":0.01417646,"domain_scores_codex":[0.9965919,0.002055878,0.0002727059,0.0001954412,0.0004389463,0.0004451736],"domain_scores_gemma":[0.9986157,0.000489065,0.0002123054,0.0002788211,0.0001442988,0.0002598016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008951216,0.0001597943,0.1378451,0.00006037334,0.00006937773,0.00001498031,0.8422275,0.001354327,0.0001225326,0.001065043,0.01310902,0.003882492],"study_design_scores_gemma":[0.0007208054,0.0003469635,0.2583891,0.00009906833,0.00005414265,0.000145255,0.411679,0.0004795347,0.00005922833,0.01833526,0.3090993,0.0005922499],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743322,0.0008098378,0.000409959,0.01394127,0.0003309504,0.0002281172,0.000014277,0.000055481,0.009877872],"genre_scores_gemma":[0.9957405,0.00008127359,0.001039415,0.001274726,0.0003361171,0.00002049202,0.000007935787,0.00001397311,0.001485541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305485,"threshold_uncertainty_score":0.9944364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071359666254934,"score_gpt":0.3424970297556186,"score_spread":0.2353610631301252,"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."}}