{"id":"W6978011165","doi":"10.7298/8943-wa03","title":"Heterogeneous Choice in WTP and WTA for land rental arrangement in Rural China: Choice experiment from the Field","year":2019,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Central University of Finance and Economics; Nanjing Agricultural University; Zhejiang University; Higher Education Discipline Innovation Project; Government of Jiangsu Province","keywords":"Field (mathematics); Renting; Rental housing; Land use; Willingness to pay","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003596718,0.0006714445,0.000865894,0.0004510515,0.001099291,0.001046994,0.001814548,0.001485439,0.1075401],"category_scores_gemma":[0.005245575,0.0004331762,0.0004140204,0.000834424,0.0008520578,0.0009260976,0.0005999057,0.00168247,0.006281947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395563,"about_ca_system_score_gemma":0.002483788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620867,"about_ca_topic_score_gemma":0.02913168,"domain_scores_codex":[0.9990845,0.0003396677,0.00008868532,0.000189108,0.0001295457,0.0001684503],"domain_scores_gemma":[0.9906377,0.005666126,0.001014741,0.00129883,0.0004548991,0.0009276569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.06498676,0.1454929,0.2037032,0.002615751,0.0008424077,0.002553715,0.008170256,0.03447965,0.04614294,0.06414302,0.2784466,0.1484229],"study_design_scores_gemma":[0.04555897,0.04710139,0.5584927,0.0002851477,0.001203496,0.0004156779,0.009571413,0.1366242,0.02699049,0.04470829,0.1279234,0.001124957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630616,0.00003615616,0.002687588,0.000516088,0.0001045098,0.002752137,0.0198232,0.0002022416,0.0108166],"genre_scores_gemma":[0.9059964,0.00008258635,0.006585768,0.0004193217,0.0000696245,0.009314992,0.01038338,0.00006377355,0.06708411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075401,"threshold_uncertainty_score":0.3597576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513099664612793,"score_gpt":0.1935299355635068,"score_spread":0.1422199691022275,"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."}}