{"id":"W3123952647","doi":"10.1111/ilr.12074","title":"Outsider ethnic minorities and wage determination in China","year":2018,"lang":"en","type":"article","venue":"International Labour Review","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ethnic group; China; Contradiction; Wage; Demographic economics; Set (abstract data type); Aggregate data; Economics; Labour economics; Political science; Law; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110903,0.0001695533,0.0002335445,0.001112271,0.000863315,0.0007543187,0.0003240393,0.0002043171,0.00279253],"category_scores_gemma":[0.00123806,0.00007853503,0.0002000825,0.001838654,0.0004945865,0.0002856723,0.0007062312,0.0002894629,0.0001292434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009801679,"about_ca_system_score_gemma":0.001721213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05907142,"about_ca_topic_score_gemma":0.09450824,"domain_scores_codex":[0.9995302,0.0001569174,0.00002967159,0.00006274489,0.00008961318,0.0001308365],"domain_scores_gemma":[0.999127,0.0001401809,0.0003903906,0.00004604852,0.0001000372,0.0001963265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005686408,0.00006736985,0.955821,0.0001228764,0.00008873759,0.0002376357,0.004078844,0.000471778,0.0002983861,0.007156559,0.0009050514,0.03069487],"study_design_scores_gemma":[0.000003606678,0.00002291203,0.9944223,0.00004360342,0.00001784622,0.00002207728,0.002420156,0.0003449823,0.00005486626,0.000618069,0.002024836,0.000004663828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949754,0.001062228,0.00007503822,0.0004502384,0.00001222985,0.000005122346,0.00009463097,0.000001503496,0.003323753],"genre_scores_gemma":[0.9989825,0.0003806608,0.00001905929,0.00002897834,0.000008995798,0.000001917754,0.00004677565,4.827598e-7,0.0005305737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05907142,"threshold_uncertainty_score":0.1174552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402752197581409,"score_gpt":0.3839349839518167,"score_spread":0.3499074619760026,"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."}}