{"id":"W2963199495","doi":"10.1016/j.landusepol.2019.104097","title":"Displaced villagers’ adaptation in concentrated resettlement community: A case study of Nanjing, China","year":2019,"lang":"en","type":"article","venue":"Land Use Policy","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"China; Adaptation (eye); Socioeconomics; Displaced person; Geography; Environmental protection; Economic growth; Environmental planning; Forestry; Refugee; Economics; Archaeology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000516151,0.0000745748,0.0001732772,0.00005388662,0.0001887174,0.000046432,0.0001263826,0.0000471265,0.00004323284],"category_scores_gemma":[0.00008682298,0.00006187228,0.00002791906,0.0001943503,0.00004836985,0.0002244603,0.00004348066,0.0001509281,0.000008077492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310864,"about_ca_system_score_gemma":0.0001585677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7908749,"about_ca_topic_score_gemma":0.4402849,"domain_scores_codex":[0.999037,0.0003063026,0.0002206309,0.0001009302,0.0001288221,0.0002062889],"domain_scores_gemma":[0.9994742,0.00009163958,0.0001574416,0.0002000904,0.00002365107,0.00005297337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003429884,0.0003132325,0.619481,0.00001283408,0.00001937169,0.00002997241,0.3773938,0.0002719056,0.00002050247,0.001778786,0.0000616579,0.0005827075],"study_design_scores_gemma":[0.004460224,0.0002911165,0.7817286,0.00005515476,0.00001108408,0.000007940098,0.2094224,0.001031829,0.00001558648,0.0003704906,0.002400328,0.0002052801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975353,0.00001493988,0.000002627883,0.0003159218,0.0000731503,0.0004868704,0.00002458532,0.00001277417,0.00153376],"genre_scores_gemma":[0.9989955,0.00003578656,0.00001355238,0.00006432252,0.00004069466,0.000007770227,0.000005230504,0.000006562985,0.0008305824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.35059,"threshold_uncertainty_score":0.5699284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655253507926944,"score_gpt":0.3358888214347773,"score_spread":0.2993362863555079,"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."}}