{"id":"W2354605518","doi":"","title":"Mechanisms of Influence on Farmers' Land Income——Case Study on Shuyang and Jingjiang Counties","year":2011,"lang":"en","type":"article","venue":"","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Agricultural economics; Agriculture; Household income; Land consolidation; Consumption (sociology); Economics; Agricultural land; Consolidation (business); Econometric model; Business; Geography","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":[0.0003731395,0.0001319981,0.0002239602,0.0004636605,0.0009747113,0.0005166321,0.0003672311,0.0002606371,0.00203167],"category_scores_gemma":[0.0005415613,0.0001261707,0.0002493799,0.0007270815,0.0007311503,0.0003041806,0.0006963368,0.0002009879,0.00007105368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090824,"about_ca_system_score_gemma":0.0005674165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03173172,"about_ca_topic_score_gemma":0.05546802,"domain_scores_codex":[0.9996974,0.0001416608,0.00001130641,0.0000290229,0.0000313551,0.00008923704],"domain_scores_gemma":[0.9996106,0.0001961546,0.0000748333,0.00002110895,0.00004383623,0.00005350947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002532726,0.0004868431,0.9456979,0.0001022044,0.0001069408,0.01482873,0.006873946,0.00656245,0.003993332,0.005594552,0.0005967522,0.01490316],"study_design_scores_gemma":[0.00005240917,0.0003388099,0.9599681,0.00002400215,0.00009748044,0.0008311582,0.01970602,0.01329374,0.001335491,0.001503209,0.002824457,0.00002500322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999275,0.00001275032,0.00005325477,0.00002396906,3.735926e-7,0.000005363574,0.00001248913,0.000001081165,0.0006156976],"genre_scores_gemma":[0.9997132,0.00001782094,0.00005400397,0.00000258711,9.818749e-7,0.00000351749,0.000009160921,2.764845e-7,0.0001984015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03173172,"threshold_uncertainty_score":0.06309408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226779940431626,"score_gpt":0.2363073206543902,"score_spread":0.2140395212500739,"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."}}