{"id":"W2384367607","doi":"","title":"Study on Policy Development,Practical Benefits and Improvement Countermeasures of Rural Land Circulation","year":2015,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Circulation (fluid dynamics); Promotion (chess); China; Business; Government (linguistics); Service (business); Land management; Economic growth; Rural area; Agriculture; Natural resource economics; Economics; Geography; Political science","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":[0.003530762,0.0002467271,0.0001772127,0.001098929,0.001053288,0.002647518,0.000555196,0.001173278,0.002698656],"category_scores_gemma":[0.005438986,0.0001261813,0.0002405773,0.001395258,0.0009687427,0.003336579,0.0007381615,0.0009928779,0.0001517429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004594369,"about_ca_system_score_gemma":0.01481494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007346348,"about_ca_topic_score_gemma":0.006777255,"domain_scores_codex":[0.9977685,0.001084108,0.00009532674,0.0001747381,0.0005160173,0.0003614444],"domain_scores_gemma":[0.9974443,0.001006484,0.0003354865,0.0000800288,0.0008942912,0.0002394543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001903911,0.0008958995,0.0703303,0.002273175,0.00007861717,0.001199281,0.006523824,0.01480359,0.004529114,0.6193256,0.02028901,0.2595613],"study_design_scores_gemma":[0.0001687272,0.001187956,0.1747744,0.003553336,0.0002268366,0.0008271627,0.07883602,0.06230497,0.009851814,0.2071714,0.4609594,0.0001380042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6484429,0.02195145,0.03560538,0.1027128,0.0008424887,0.001229542,0.0004079861,0.0001506828,0.1886568],"genre_scores_gemma":[0.9770432,0.00735428,0.005126025,0.001331003,0.000101822,0.0001298039,0.00008291723,0.000007062356,0.008824088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007346348,"threshold_uncertainty_score":0.03333467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456211058364003,"score_gpt":0.2661910631861459,"score_spread":0.2316289526025058,"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."}}