{"id":"W2617462525","doi":"10.3968/9544","title":"Access to Higher Education of Ethnic Minorities in China","year":2017,"lang":"en","type":"article","venue":"Canadian social science","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Higher education; Ethnic group; Political science; Access to Higher Education; Economic growth; Public administration; Development economics; Economics; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006588968,0.00005858061,0.0001035333,0.0002371143,0.00242814,0.0002732681,0.001195284,0.00008447751,0.0003485578],"category_scores_gemma":[0.0002728818,0.00006392399,0.00003400071,0.0006638515,0.001449596,0.0007047878,0.00007732829,0.0001058056,0.00001007458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368476,"about_ca_system_score_gemma":0.003551403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6715574,"about_ca_topic_score_gemma":0.7278363,"domain_scores_codex":[0.9989163,0.00003795495,0.0001323845,0.0001861374,0.0003174727,0.0004097227],"domain_scores_gemma":[0.9992263,0.00002179836,0.00008463492,0.0001977848,0.0001135881,0.0003558387],"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":[0.000001971026,0.00002703313,0.1602402,0.00001124329,0.000002229834,0.000001800011,0.05149905,0.000001564325,0.00006934903,0.7355124,0.006807847,0.04582525],"study_design_scores_gemma":[0.00004373381,0.00000502183,0.9407737,0.00002149956,0.000002361135,7.223097e-8,0.005040869,9.417975e-7,0.00001121496,0.004654984,0.04935409,0.00009156806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3073862,0.0001233443,0.00000118414,0.007794498,0.001226002,0.0001696916,0.00001135673,0.000006432966,0.6832812],"genre_scores_gemma":[0.9879,0.00002889455,0.00003196855,0.0003375117,0.0004172421,0.00001415167,7.846132e-7,0.00000340346,0.01126608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7805334,"threshold_uncertainty_score":0.9988706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06109281031013152,"score_gpt":0.3946445374677613,"score_spread":0.3335517271576298,"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."}}