{"id":"W2808149277","doi":"10.22004/ag.econ.273477","title":"Assessing farmers’ preferences for the future of the Common Agricultural Policy: insights from of a discrete choice experiment in Germany","year":2018,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Direct Payments; Common Agricultural Policy; Payment; Discrete choice; Public economics; Intervention (counseling); Agricultural policy; Mixed logit; German; Quarter (Canadian coin); Welfare; Economics; Agriculture; Latent class model; Preference; Actuarial science; Business; Agricultural economics; European union; Logistic regression; Econometrics; Economic policy; Geography; Microeconomics; Statistics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008799289,0.0004086237,0.0005336481,0.0003368709,0.0004967187,0.001667802,0.0003902337,0.0009610544,0.001646682],"category_scores_gemma":[0.009393048,0.0002745109,0.0004003784,0.0004579877,0.001613882,0.001033557,0.0005893228,0.0006169277,0.0001490382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822585,"about_ca_system_score_gemma":0.0007282718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944147,"about_ca_topic_score_gemma":0.008249012,"domain_scores_codex":[0.9963067,0.002917822,0.00009520414,0.0002183232,0.0002180621,0.0002439112],"domain_scores_gemma":[0.984965,0.01275759,0.001334946,0.0005173224,0.0001330583,0.0002921955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03703754,0.02194383,0.5429432,0.0009824934,0.001481218,0.002883937,0.03890951,0.1074956,0.110777,0.04664241,0.001861253,0.08704198],"study_design_scores_gemma":[0.002969379,0.02363889,0.7590904,0.0002079268,0.0006292122,0.0003170931,0.02727837,0.1273024,0.03048893,0.01930208,0.00832366,0.0004516181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994454,0.000008024655,0.0002475534,0.00002731078,8.377877e-7,0.00001668515,0.00001648607,9.122165e-7,0.0002368844],"genre_scores_gemma":[0.9990975,0.000022463,0.0005372096,0.00002316638,0.000001306097,0.00003071348,0.00002519002,6.525475e-7,0.0002619174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008799289,"threshold_uncertainty_score":0.04653561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068135639639234,"score_gpt":0.2695473742319264,"score_spread":0.162733810268003,"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."}}