{"id":"W7164939109","doi":"10.1080/17153379.2022.12558149","title":"Invisible China: How the Urban-Rural Divide Threatens China’s Rise.","year":2022,"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":"Natural (archaeology); Feature (linguistics); Key (lock)","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":[0.001114915,0.0002123343,0.0001707101,0.0006760374,0.007680296,0.004588819,0.0006013119,0.001541846,0.007028216],"category_scores_gemma":[0.001622483,0.000114252,0.0001976311,0.001185803,0.007198288,0.002602923,0.005568699,0.002692992,0.0002469982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006609974,"about_ca_system_score_gemma":0.01818837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.114004,"about_ca_topic_score_gemma":0.2241481,"domain_scores_codex":[0.9992924,0.0001483906,0.00001238358,0.00005311343,0.0001003299,0.0003934556],"domain_scores_gemma":[0.999379,0.00006712289,0.00005664586,0.0000523517,0.00008003827,0.0003647963],"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":[0.00009972417,0.0000787431,0.03170105,0.0001206245,0.00003426169,0.001064062,0.04265811,0.0007595596,0.001145704,0.8176221,0.04218894,0.06252714],"study_design_scores_gemma":[0.00008226991,0.0001711382,0.1604775,0.0002706696,0.0000649314,0.0001394424,0.06316157,0.001804928,0.0009697414,0.1974963,0.5752746,0.00008681508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5913205,0.0051587,0.001087844,0.1540165,0.000731819,0.00007677911,0.0002378463,0.00007745602,0.2472926],"genre_scores_gemma":[0.980548,0.0009988956,0.0001326651,0.004211103,0.00009925794,0.00002179888,0.00003755747,0.000008845134,0.01394186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114004,"threshold_uncertainty_score":0.2266808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211335735807334,"score_gpt":0.232178753131004,"score_spread":0.2200653957729307,"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."}}