{"id":"W7133036257","doi":"","title":"Patterns, mechanisms and nature of ethnic intermarriage in urban China, Kunming case, 1950--1996","year":2008,"lang":"","type":"dissertation","venue":"TSpace","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Ethnic group; Census; Restructuring; Mainstream; Context (archaeology); Immigration; Economic restructuring; Public use","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005835143,0.0001297064,0.0001096048,0.001661181,0.0021437,0.0007146823,0.000565704,0.0002668025,0.0009099962],"category_scores_gemma":[0.001699831,0.0002056596,0.0001278973,0.002350186,0.001119815,0.000604491,0.001244426,0.0003562224,0.0000797599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003674743,"about_ca_system_score_gemma":0.001278122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310876,"about_ca_topic_score_gemma":0.2578842,"domain_scores_codex":[0.9995808,0.00008551031,0.00002486084,0.00005090335,0.00006049479,0.0001973999],"domain_scores_gemma":[0.9993756,0.000065821,0.0003062805,0.00005807864,0.00007446259,0.0001196774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004270576,0.00004554514,0.9603128,0.00001822729,0.0000175481,0.0006981131,0.02830615,0.00007994367,0.0003677133,0.001286924,0.0003152259,0.008509177],"study_design_scores_gemma":[0.000001693922,0.00001845545,0.98225,0.00001177066,0.000007762143,0.000177986,0.0164395,0.000107289,0.0000829792,0.0001135159,0.000785474,0.00000351453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993487,0.0000810921,0.000008384376,0.00005081486,5.904816e-7,0.000002703611,0.00001848768,5.154798e-7,0.0004887029],"genre_scores_gemma":[0.99955,0.0001016611,0.00001196473,0.000008401971,0.000001218905,0.000004414955,0.00002965809,2.866614e-7,0.0002924476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310876,"threshold_uncertainty_score":0.2606493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764344147843472,"score_gpt":0.3531958669594003,"score_spread":0.3355524254809655,"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."}}