{"id":"W3124345497","doi":"","title":"Reforming agricultural support for improved environmental outcomes","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Agriculture; Developing country; Productivity; Agricultural productivity; Greenhouse gas; Natural resource economics; Agricultural economics; Economics; Business; Quarter (Canadian coin); Agricultural policy; Economic growth; Geography; Market economy","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":[0.005724663,0.0003365039,0.0003330596,0.001488025,0.001145135,0.004177835,0.0009435266,0.003093201,0.0283087],"category_scores_gemma":[0.01862399,0.0001892868,0.0004465418,0.001723222,0.00209729,0.003769901,0.003954117,0.001870452,0.001933025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256176,"about_ca_system_score_gemma":0.005023182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729895,"about_ca_topic_score_gemma":0.003157707,"domain_scores_codex":[0.9968193,0.001229489,0.0001121164,0.0003851129,0.0005572721,0.0008966898],"domain_scores_gemma":[0.9930656,0.002443298,0.001685111,0.000894662,0.0009845572,0.0009268114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002125204,0.0004871912,0.009333452,0.0003295621,0.00008715037,0.0004391922,0.001031168,0.00482165,0.001823859,0.8183962,0.03221245,0.1308255],"study_design_scores_gemma":[0.0004122991,0.0003951925,0.04117162,0.0005235567,0.00009710564,0.0002239266,0.001375678,0.004433556,0.001913756,0.4208643,0.5285256,0.00006353148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2398152,0.005617934,0.01825297,0.207733,0.001713395,0.0001828231,0.0008625641,0.0005931121,0.5252291],"genre_scores_gemma":[0.963926,0.001423187,0.002471393,0.006457596,0.0009540085,0.00007605214,0.0001564618,0.00006948527,0.02446598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0283087,"threshold_uncertainty_score":0.09470201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08295765645148946,"score_gpt":0.3094233857015145,"score_spread":0.2264657292500251,"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."}}