{"id":"W7164908520","doi":"10.1080/17153379.2017.12559276","title":"From Village to City: Social Transformation in a Chinese County Seat.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Social transformation; Social change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003369337,0.0001156949,0.0001020724,0.0003600549,0.01098311,0.002205431,0.0004657395,0.0005452265,0.007427448],"category_scores_gemma":[0.0004436723,0.00009400577,0.0001267623,0.0006840171,0.003269363,0.0009762089,0.002824687,0.001094291,0.0002299707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006173791,"about_ca_system_score_gemma":0.01097842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2157503,"about_ca_topic_score_gemma":0.5272124,"domain_scores_codex":[0.9996027,0.00007709427,0.000006880347,0.00002569058,0.00002045495,0.0002670627],"domain_scores_gemma":[0.9997206,0.00001321272,0.00001939514,0.00000864322,0.00002150703,0.0002165676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002500178,0.000458898,0.1986457,0.0001126779,0.00003901873,0.005495911,0.3744195,0.0008776988,0.002268117,0.3097804,0.04451738,0.06313465],"study_design_scores_gemma":[0.00006659717,0.0001544558,0.3888307,0.00007395435,0.00005124368,0.0002708814,0.435567,0.001613023,0.0009449311,0.01452727,0.1578444,0.00005564327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9542587,0.0001604316,0.0001334472,0.00711548,0.00004388063,0.00002586608,0.00004388176,0.00001115651,0.03820704],"genre_scores_gemma":[0.9901226,0.0000551341,0.00002915255,0.0001985471,0.000006848426,0.00000694376,0.00001137829,0.000001916278,0.009567582],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2157503,"threshold_uncertainty_score":0.4289889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473996664758232,"score_gpt":0.2933137303860117,"score_spread":0.2785737637384293,"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."}}