{"id":"W3182932991","doi":"10.1007/978-981-16-3021-7_5","title":"New Features of the Urban Ethnic Population Distribution","year":2021,"lang":"en","type":"book-chapter","venue":"Springer briefs in geography","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Urban agglomeration; Ethnic group; Geography; China; Economic geography; Distribution (mathematics); Population; Political science; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279544,0.0002200502,0.0003256959,0.0001614151,0.0001987369,0.00004557879,0.000450385,0.0004509595,0.000362877],"category_scores_gemma":[0.0000631378,0.0002093738,0.000436515,0.0002563383,0.0002878089,0.00009848311,0.000142244,0.0004432258,0.000006781831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652777,"about_ca_system_score_gemma":0.000298221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007695562,"about_ca_topic_score_gemma":0.005977983,"domain_scores_codex":[0.9983681,0.00007219928,0.0004020225,0.0003768798,0.0005058555,0.0002749037],"domain_scores_gemma":[0.9990587,0.0000846002,0.0003604022,0.0003388317,0.00007253374,0.00008489862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009893667,0.00001646423,0.1504897,0.00002687056,0.0001322481,0.000003653178,0.001523291,0.000009750642,0.000001844821,0.7936448,0.01312579,0.04101565],"study_design_scores_gemma":[0.0001131449,0.00000351446,0.6630268,0.0001992981,0.00002505013,3.665051e-7,0.00005233811,1.157485e-7,0.000004749095,0.01970081,0.3166854,0.0001884278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01225491,0.01087038,0.0000683696,0.004399195,0.003280455,0.000792734,0.0001174709,0.0001174308,0.9680991],"genre_scores_gemma":[0.3136328,0.003258847,0.0007110637,0.000407784,0.001425738,0.00002567622,0.0006934614,0.00009409142,0.6797506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.773944,"threshold_uncertainty_score":0.9989123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190445399686129,"score_gpt":0.264309029611708,"score_spread":0.2452644896430951,"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."}}