{"id":"W4296460213","doi":"10.1155/2022/9143080","title":"Effect of Farmland Transfer on Poverty Reduction under Different Targeted Poverty Alleviation Patterns Based on PSM-DID Model in Karst Area of China","year":2022,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Social Science Fund of China; Social Sciences and Humanities Research Council of Canada","keywords":"Poverty; Relocation; China; Tourism; Consumption (sociology); Rural poverty; Rural area; Socioeconomics; Agricultural economics; Business; Economic growth; Geography; Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003190867,0.0006560294,0.0006178013,0.0007369066,0.0004232139,0.0006640187,0.0009713248,0.000402688,0.001343532],"category_scores_gemma":[0.004034788,0.0001890525,0.001659575,0.0005662979,0.0005349547,0.0006516072,0.001123426,0.0005124498,0.00006788513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030457,"about_ca_system_score_gemma":0.002119781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050654,"about_ca_topic_score_gemma":0.01811145,"domain_scores_codex":[0.9985533,0.0007665842,0.00005136161,0.0002083034,0.0001065094,0.0003138773],"domain_scores_gemma":[0.9987013,0.0005609854,0.0002601105,0.0001122337,0.0001637346,0.0002016251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002147913,0.001947572,0.6929216,0.0002176179,0.001461506,0.0005392545,0.000611971,0.2463907,0.00123026,0.003398469,0.001195553,0.04793746],"study_design_scores_gemma":[0.0002895422,0.001953076,0.3186333,0.00003119181,0.0006483836,0.00006064229,0.0009721874,0.6738576,0.0007749723,0.002135699,0.0006057241,0.0000375795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982607,0.00005248221,0.001215072,0.0001108501,0.000005990608,0.00003629725,0.00005280891,0.00001264976,0.0002532882],"genre_scores_gemma":[0.999221,0.00004115811,0.0004175297,0.00001567117,0.000002505368,0.00002707834,0.00006961881,0.000001458052,0.0002039583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050654,"threshold_uncertainty_score":0.08054155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009545421566159831,"score_gpt":0.1868639022206328,"score_spread":0.1773184806544729,"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."}}