{"id":"W2428065428","doi":"10.1111/ilrf.12002","title":"Réforme des régimes de propriété des entreprises et inégalités salariales dans la Chine urbaine","year":2016,"lang":"fr","type":"article","venue":"Revue internationale du Travail","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Political science; Humanities; Economics; Art","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":[0.001475391,0.0001764387,0.0002843013,0.0008259605,0.002013251,0.001760714,0.0004019027,0.0004874299,0.003030119],"category_scores_gemma":[0.002016395,0.0001223782,0.0001913129,0.001706444,0.002316176,0.0004769653,0.001483502,0.0005449418,0.0001273453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0135929,"about_ca_system_score_gemma":0.0178896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3143538,"about_ca_topic_score_gemma":0.434125,"domain_scores_codex":[0.9988589,0.0003685514,0.0000412199,0.00006624019,0.0001658375,0.0004992108],"domain_scores_gemma":[0.9988884,0.0001943387,0.0002836672,0.0001110858,0.0002673447,0.000255159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006159457,0.0002174117,0.5200952,0.0005695234,0.000202123,0.001464437,0.03608276,0.008552821,0.01541712,0.2792089,0.005344013,0.1322297],"study_design_scores_gemma":[0.0000572557,0.0002525876,0.9085336,0.0002207883,0.0000648463,0.0001098148,0.01183317,0.003445886,0.001786162,0.006499235,0.06715047,0.00004618961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977674,0.00124092,0.0004896019,0.002882003,0.0000160676,0.00004862557,0.0001349104,0.00001823259,0.01749574],"genre_scores_gemma":[0.996255,0.000310645,0.0002162376,0.0001011125,0.000006076388,0.00001613799,0.00002777608,0.000001564502,0.003065418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143538,"threshold_uncertainty_score":0.6250482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852301066393014,"score_gpt":0.2676095917634752,"score_spread":0.249086581099545,"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."}}