{"id":"W1996539794","doi":"10.1016/j.apenergy.2012.03.031","title":"Global biofuel production and poverty in China","year":2012,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Bill and Melinda Gates Foundation","keywords":"Biofuel; Production (economics); China; Agricultural economics; Distribution (mathematics); Agriculture; Economics; Natural resource economics; Commodity; Government (linguistics); Food prices; Agricultural productivity; Business; Food security; Market economy; Biotechnology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004823345,0.0002739707,0.0002751487,0.002395432,0.001295212,0.0009680539,0.0002841024,0.0003360153,0.001390394],"category_scores_gemma":[0.0004263621,0.0001938282,0.0004455186,0.003875792,0.0009991742,0.0008074886,0.001454469,0.0003141189,0.00005924611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003937468,"about_ca_system_score_gemma":0.003258148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1295194,"about_ca_topic_score_gemma":0.1953635,"domain_scores_codex":[0.9997479,0.0000313942,0.0000148661,0.00002863615,0.00004253225,0.0001345948],"domain_scores_gemma":[0.9996948,0.00004552788,0.0001009936,0.00001767537,0.00004992468,0.00009113597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001614843,0.0000806055,0.9645644,0.0000778981,0.0001689362,0.00103808,0.003064214,0.003658516,0.0009396909,0.008652195,0.0007739401,0.01682003],"study_design_scores_gemma":[0.000007299194,0.00003841421,0.98952,0.00001655013,0.00005322372,0.0001031832,0.003758669,0.001814128,0.0002112589,0.002799812,0.001661264,0.00001627973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976349,0.0003681158,0.00003927351,0.0003785318,0.000002536778,0.000001676121,0.000117985,0.000001846908,0.001455143],"genre_scores_gemma":[0.9994556,0.0001621388,0.00001521247,0.00001500359,0.000002729899,0.000001506606,0.00004574017,5.70865e-7,0.0003014901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1295194,"threshold_uncertainty_score":0.257531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004014256884592667,"score_gpt":0.2017736835702637,"score_spread":0.197759426685671,"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."}}