{"id":"W2747649586","doi":"10.1080/21699763.2017.1363800","title":"The dualisation of unemployment compensation in emerging economies: Brazil, China and Russia","year":2017,"lang":"en","type":"article","venue":"Journal of International and Comparative Social Policy","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Development and Reform Commission","keywords":"Liberalization; Unemployment; Politics; China; Economics; Welfare; Pace; Social Welfare; Market economy; Compensation (psychology); Earnings; Development economics; Economic system; Labour economics; Political economy; Economic policy; Political science; Economic growth","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":[0.0009521487,0.0001131016,0.0002481972,0.0008574067,0.002097239,0.001708851,0.000342313,0.0003953975,0.001014221],"category_scores_gemma":[0.00108195,0.00009298796,0.0002234236,0.0006076249,0.002920652,0.0007736502,0.00248118,0.0006588679,0.00003424627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004849702,"about_ca_system_score_gemma":0.004848059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015477,"about_ca_topic_score_gemma":0.1691089,"domain_scores_codex":[0.9994306,0.0001339917,0.00002164588,0.00004524047,0.00006501464,0.0003034203],"domain_scores_gemma":[0.9994264,0.000101288,0.0001917635,0.0000391484,0.00008155538,0.0001597606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003267379,0.0001838432,0.418036,0.0003268841,0.000110597,0.004888869,0.1413858,0.001903808,0.005680227,0.3691901,0.001300311,0.0566669],"study_design_scores_gemma":[0.00003826645,0.0001364952,0.8258142,0.00043047,0.00007143759,0.0006584915,0.1242269,0.002913189,0.00163202,0.01249764,0.03152926,0.0000515769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991612,0.0003204108,0.000117818,0.000764828,0.000004877905,0.000008158452,0.00001993737,0.000001599661,0.007150429],"genre_scores_gemma":[0.9995754,0.00008469616,0.00002376322,0.00001963751,0.000001311239,0.000002206446,0.000005459882,3.940172e-7,0.0002871435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015477,"threshold_uncertainty_score":0.2019132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07217114646183886,"score_gpt":0.4284553904666367,"score_spread":0.3562842440047979,"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."}}