{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521407,0.0002378731,0.0001124534,0.0005659323,0.006311962,0.002570219,0.0007526844,0.0004608184,0.007117262],"category_scores_gemma":[0.0004886599,0.000106763,0.0001593918,0.0009246282,0.002953358,0.001874434,0.002788317,0.0005862401,0.0003201926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939328,"about_ca_system_score_gemma":0.004975894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08174946,"about_ca_topic_score_gemma":0.3260356,"domain_scores_codex":[0.9998366,0.00003949193,0.000003127552,0.00001765789,0.00002175897,0.0000813349],"domain_scores_gemma":[0.9997914,0.00001540881,0.00001924833,0.00002677958,0.00002707729,0.0001200703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002165817,0.0006532209,0.2490054,0.000419945,0.00006183931,0.003401106,0.2156654,0.001212639,0.006907318,0.05469191,0.03004209,0.4377227],"study_design_scores_gemma":[0.0000244133,0.0002656404,0.2008637,0.0003545875,0.00004563055,0.0005787376,0.5364701,0.001291489,0.001395694,0.007054671,0.2515965,0.00005901693],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569493,0.0003107113,0.000629922,0.003089929,0.00003139857,0.00003593861,0.00003836028,0.00002617833,0.03888832],"genre_scores_gemma":[0.9870078,0.0003826343,0.001039608,0.0002770968,0.000007383717,0.00001842506,0.00004275832,0.00001326265,0.01121107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08174946,"threshold_uncertainty_score":0.1625473,"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."}}