{"id":"W3123576743","doi":"","title":"Grassroots Participation and Repression under Hu Jintao and Xi Jinping","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grassroots; Political science; Public administration; Politics; Consolidation (business); State (computer science); Psychological repression; Government (linguistics); Political economy; Sociology; Law; Economics","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":[0.001177306,0.0001805029,0.0002859925,0.0007560253,0.003421273,0.001820959,0.0004768603,0.0004179727,0.002760443],"category_scores_gemma":[0.001069049,0.000141095,0.0001588122,0.001409839,0.002974816,0.0009629104,0.002382368,0.0007406923,0.0001205193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00423029,"about_ca_system_score_gemma":0.003716406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03897829,"about_ca_topic_score_gemma":0.0583981,"domain_scores_codex":[0.998978,0.00016882,0.00003084871,0.00008106048,0.0001328453,0.0006083474],"domain_scores_gemma":[0.9988382,0.0001281841,0.0004237858,0.00005309405,0.0001045644,0.000452236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005475234,0.000396096,0.7154717,0.0001328218,0.00007095233,0.00160969,0.1969905,0.0006178315,0.004822208,0.03466756,0.002286233,0.04238691],"study_design_scores_gemma":[0.00001526442,0.0001224371,0.9144628,0.00002269484,0.00001501886,0.00007555343,0.07566673,0.0004097886,0.0006359926,0.001023308,0.00752937,0.00002101844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968785,0.00003246325,0.00002616865,0.000163446,0.000003307338,0.000005775233,0.0000207543,0.000001029445,0.002868434],"genre_scores_gemma":[0.9986147,0.00004177165,0.00001246361,0.00003715513,0.000004311458,0.00000783316,0.00004088148,7.372223e-7,0.001240171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03897829,"threshold_uncertainty_score":0.07750279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755901220375281,"score_gpt":0.3298671864313542,"score_spread":0.3123081742276014,"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."}}