{"id":"W1966247875","doi":"10.1068/a36185","title":"The Changing Dynamics of Land-Use Change in Rural China: A Case Study of Yuhang, Zhejiang Province","year":2004,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Urban sprawl; Industrialisation; Urbanization; China; Agricultural land; Land use; Geography; Agriculture; Agricultural productivity; Rural area; Economic growth; Land use, land-use change and forestry; Agricultural economics; Political science; 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":[0.0008649226,0.0003658625,0.0003276955,0.001476682,0.003495685,0.001115224,0.001075072,0.0008865298,0.0008125946],"category_scores_gemma":[0.001153076,0.000285039,0.0003135312,0.003653702,0.001761118,0.000693276,0.001310265,0.0003953113,0.00007583668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007010275,"about_ca_system_score_gemma":0.002586551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2433571,"about_ca_topic_score_gemma":0.3716521,"domain_scores_codex":[0.9993112,0.0002981156,0.00003760885,0.00006222486,0.00008173097,0.0002090372],"domain_scores_gemma":[0.9992695,0.0002940239,0.0001242155,0.00004828428,0.00009902739,0.0001649411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002393972,0.0004946699,0.6131611,0.0004603534,0.00009815241,0.07663732,0.2719747,0.004908955,0.005723301,0.003385579,0.001000535,0.02191593],"study_design_scores_gemma":[0.00003128269,0.0005351302,0.5735881,0.0001175715,0.00006676913,0.00256202,0.4102317,0.004341404,0.001283246,0.0004596538,0.006725785,0.00005730992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994028,0.00006749557,0.00004399164,0.00005632796,0.000001435413,0.00001026727,0.00001988542,0.000001437997,0.0003963133],"genre_scores_gemma":[0.9991453,0.0001420823,0.0000972065,0.00002251699,0.000001371239,0.00000849044,0.00003587495,9.660312e-7,0.0005462053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2433571,"threshold_uncertainty_score":0.4838812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236737531407927,"score_gpt":0.2376847331026646,"score_spread":0.2253173577885854,"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."}}