{"id":"W4236168425","doi":"10.2307/2672291","title":"China’s National Income, 1952-1995.","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000329261,0.0004266188,0.0002193489,0.001648479,0.0005156737,0.0007496533,0.0004951332,0.0002095596,0.003079068],"category_scores_gemma":[0.0009137609,0.0001350072,0.0001554026,0.007220868,0.0002181131,0.0005607738,0.000658587,0.0003399688,0.0004915754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004963754,"about_ca_system_score_gemma":0.004709313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4998444,"about_ca_topic_score_gemma":0.7130982,"domain_scores_codex":[0.9997907,0.00001105867,0.00002517149,0.00002877749,0.00007639256,0.00006790116],"domain_scores_gemma":[0.9996467,0.00001501605,0.00008117247,0.00001506425,0.0001852562,0.00005681697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003850918,0.0001038973,0.6447098,0.0008914885,0.0003516461,0.0005440001,0.002063328,0.002700419,0.000413649,0.01271853,0.2478562,0.08726206],"study_design_scores_gemma":[0.000009478544,0.00001360977,0.9518626,0.00002721006,0.00002695719,0.00002458519,0.0003307277,0.0003142385,0.00009362958,0.0001136102,0.04717693,0.000006399574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814063,0.01304164,0.0004251117,0.004646149,0.0005207362,0.0001110218,0.2330487,0.0002556443,0.06654453],"genre_scores_gemma":[0.8912873,0.004426165,0.0003568002,0.0002239457,0.00006951142,0.00008470967,0.07504524,0.00001172122,0.02849474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4998444,"threshold_uncertainty_score":0.9938699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008299300567760933,"score_gpt":0.2543521033586115,"score_spread":0.2460528027908506,"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."}}