{"id":"W4391681842","doi":"10.1111/cjag.12351","title":"How a price‐support policy can hurt the environment: Empirical evidence from Northeast China","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Agricultural economics; Profit (economics); Straw; Environmental science; Agronomy; Economics; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001888391,0.0003029532,0.0005070451,0.00090147,0.0008769267,0.001152291,0.0008843341,0.0006126168,0.002783247],"category_scores_gemma":[0.004841645,0.0001946683,0.0008631944,0.002001409,0.001207623,0.0008124068,0.001067006,0.0008120195,0.0001943632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00383474,"about_ca_system_score_gemma":0.003927367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3922014,"about_ca_topic_score_gemma":0.3959551,"domain_scores_codex":[0.9990755,0.0002846606,0.00006323568,0.0001209458,0.0001963984,0.0002591914],"domain_scores_gemma":[0.9936289,0.001944375,0.002152321,0.0004240766,0.001092448,0.000757842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002612188,0.0002796485,0.9723842,0.0001072879,0.0003137799,0.0008054465,0.0006145199,0.008968493,0.0005006559,0.00234644,0.003051882,0.01036638],"study_design_scores_gemma":[0.00006547453,0.0001200812,0.9805834,0.00003399228,0.0002117611,0.00003477601,0.001685223,0.01316705,0.0004448334,0.0006749812,0.002946735,0.00003164952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967324,0.0004464955,0.0001614331,0.000866315,0.00001054766,0.00001021952,0.0004991956,0.0000114368,0.001262035],"genre_scores_gemma":[0.9986394,0.0002560579,0.00005172016,0.0001088828,0.000009961484,0.000004542296,0.000457146,0.000002593271,0.0004697256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3922014,"threshold_uncertainty_score":0.7798371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03862642049361186,"score_gpt":0.17869307689753,"score_spread":0.1400666564039181,"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."}}