{"id":"W3118648417","doi":"10.3390/land10010058","title":"Tracing Agricultural Land Transfer in China: Some Legal and Policy Issues","year":2021,"lang":"en","type":"article","venue":"Land","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Peasant; Agrarian society; China; Land tenure; Restructuring; Agricultural land; Context (archaeology); Land management; Land law; Agriculture; Business; Economic growth; Natural resource economics; Economics; Economic system; Geography; Political science; Law; Finance","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":[0.005471423,0.000204129,0.0003257534,0.003587354,0.004388907,0.003331833,0.001285685,0.001598785,0.002480551],"category_scores_gemma":[0.007657471,0.0002343098,0.0002859175,0.009094374,0.007123935,0.004969025,0.002244883,0.001352944,0.00009273789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02206324,"about_ca_system_score_gemma":0.01876904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2417668,"about_ca_topic_score_gemma":0.2745448,"domain_scores_codex":[0.9978061,0.0006010723,0.0001378789,0.0002981524,0.0005717796,0.0005850198],"domain_scores_gemma":[0.9957078,0.001837729,0.0009046799,0.0004298975,0.0008235233,0.0002963774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006429839,0.00007983375,0.1900261,0.0003773647,0.00003321143,0.001270315,0.03490838,0.003680506,0.00114649,0.6629519,0.004981188,0.1004804],"study_design_scores_gemma":[0.00003610913,0.0001865639,0.6381637,0.0006968643,0.00005693581,0.000347313,0.05164159,0.01085906,0.002426964,0.1415708,0.1538663,0.0001477762],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612355,0.007680995,0.003576245,0.05721053,0.0001074902,0.0001167497,0.0004872218,0.00005126433,0.06953396],"genre_scores_gemma":[0.9916573,0.002041952,0.0009892141,0.001200099,0.00004453716,0.00004712377,0.0001247314,0.000006355511,0.003888842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417668,"threshold_uncertainty_score":0.4807191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006890454967917975,"score_gpt":0.267478018313494,"score_spread":0.260587563345576,"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."}}