{"id":"W2965828240","doi":"10.24908/jcri.v6i1.9903","title":"Multiculturalism and Diversity in Urban Revitalization","year":2019,"lang":"en","type":"article","venue":"Journal of Critical Race Inquiry","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Multiculturalism; Context (archaeology); Cultural diversity; Sociology; Race (biology); Political science; Geography; Gender studies; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005624235,0.00004113523,0.0001257749,0.00003428394,0.0001050104,0.00003778049,0.00009587871,0.0000591734,0.00003858116],"category_scores_gemma":[0.0018659,0.00003435998,0.00002951761,0.00009232534,0.0002114618,0.0004561373,0.00004360247,0.0001449359,0.000008787545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005813731,"about_ca_system_score_gemma":0.00003062355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280441,"about_ca_topic_score_gemma":0.00003632853,"domain_scores_codex":[0.9992468,0.0001081995,0.0001606002,0.00006502622,0.0002920936,0.0001272684],"domain_scores_gemma":[0.9993661,0.0003004315,0.00007518606,0.00003706869,0.0001326602,0.00008854742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001008477,0.0001659514,0.7430461,0.00009051245,0.00001310862,0.0001368251,0.1744015,0.00002909113,0.0004374878,0.0487916,0.03196179,0.000825203],"study_design_scores_gemma":[0.002231238,0.0003945205,0.8021234,0.001129657,0.00008204693,0.00006049398,0.05299253,0.0002697152,0.0001365827,0.005075988,0.1349978,0.0005059846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928081,0.0007381099,0.00006057294,0.004762575,0.0005494131,0.0000393585,9.626989e-7,0.000004541671,0.001036361],"genre_scores_gemma":[0.9984733,0.0001045279,0.0002013257,0.0002335519,0.0002597494,1.067443e-7,1.679252e-7,0.000001961914,0.0007253365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214089,"threshold_uncertainty_score":0.2233792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796866382491932,"score_gpt":0.3578279643754231,"score_spread":0.3098593005505038,"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."}}