{"id":"W1906587817","doi":"","title":"Research on Ethnic Identity of Zhuang Ethnic in Red River Basin of Guangxi","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Identity (music); Dimension (graph theory); Rank (graph theory); Geography; Gender studies; Sociology; Anthropology; Mathematics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004442855,0.00007918915,0.000193908,0.0001375767,0.0005648419,0.00005455847,0.0008167907,0.0002086084,0.0001202879],"category_scores_gemma":[0.001407468,0.00006907841,0.00009587494,0.001083033,0.002079041,0.0006464078,0.0002155391,0.0005613214,0.00002372785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918066,"about_ca_system_score_gemma":0.00007021653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01745289,"about_ca_topic_score_gemma":0.02122976,"domain_scores_codex":[0.99721,0.001428814,0.0004059738,0.0001576739,0.0005545478,0.0002429776],"domain_scores_gemma":[0.9974295,0.000969146,0.0001954842,0.0006672553,0.0006866085,0.00005203425],"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":[0.0001328237,0.0004845803,0.02746452,0.0001493165,0.00003894346,5.306003e-7,0.1729566,0.0006276221,0.007029646,0.7276064,0.003084885,0.06042411],"study_design_scores_gemma":[0.0007394108,0.00009601683,0.9260073,0.0003019142,0.00001232165,3.821337e-7,0.02017378,0.0002829575,0.001138573,0.03579441,0.01527647,0.0001764545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941204,0.001259831,0.00001765069,0.001533956,0.00008584011,0.0002334676,0.000006752774,0.00002219685,0.05563638],"genre_scores_gemma":[0.9959241,0.001927734,0.0003596111,0.00002705071,0.00004858824,0.00001470602,0.00002811067,0.000006445434,0.00166366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8985428,"threshold_uncertainty_score":0.9966303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780228652938255,"score_gpt":0.506538866547312,"score_spread":0.3285160012534864,"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."}}