{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006532102,0.00007730151,0.000135085,0.00007795764,0.0001574228,0.00004372489,0.0001738053,0.00006215447,0.001518548],"category_scores_gemma":[0.0003979675,0.00007084337,0.0000444723,0.0001761235,0.0002284859,0.0002448004,0.00004934031,0.0001186222,0.00005800841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008923594,"about_ca_system_score_gemma":0.0000599739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434418,"about_ca_topic_score_gemma":0.008628136,"domain_scores_codex":[0.9990585,0.0001218067,0.0002462696,0.0001572914,0.000267621,0.0001484649],"domain_scores_gemma":[0.9995674,0.00008828285,0.00008073104,0.00008645696,0.0001272269,0.00004991347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006954704,0.00007721281,0.01874911,0.0003905976,0.00002852633,0.00001624546,0.01558499,4.613221e-7,0.00001457422,0.5230917,0.004174687,0.437865],"study_design_scores_gemma":[0.0002966511,0.00003152421,0.2327686,0.002078546,0.00002265704,0.00001186253,0.0007248666,0.00009916519,0.000009101173,0.01401971,0.7497073,0.0002299622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.359309,0.1966707,0.0002713533,0.05101078,0.003174088,0.00105017,0.00007269329,0.0001170588,0.3883241],"genre_scores_gemma":[0.8439072,0.1337295,0.0004042161,0.001409383,0.0007551105,0.00003337371,0.00001234582,0.000008992549,0.01973983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7455327,"threshold_uncertainty_score":0.9993942,"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."}}