{"id":"W2728429789","doi":"10.1111/sjoe.12177","title":"Long‐Run Impact of Biofuels on Food Prices","year":2016,"lang":"en","type":"article","venue":"Scandinavian Journal of Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Biofuel; Economics; Agricultural economics; Gasoline; Mandate; Agriculture; Food prices; Differential (mechanical device); Natural resource economics; Food security; Geography; Biotechnology; Waste management","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":[0.0009086563,0.0006829229,0.0007748116,0.0004769321,0.000642706,0.002772395,0.0007518127,0.002145711,0.01142928],"category_scores_gemma":[0.002235278,0.0004894438,0.001016472,0.0007460827,0.0007718866,0.001805946,0.0009362199,0.002064764,0.0009528247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870075,"about_ca_system_score_gemma":0.001329314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04434445,"about_ca_topic_score_gemma":0.02575331,"domain_scores_codex":[0.9997149,0.00005955245,0.00001389701,0.00005263326,0.00003856641,0.0001203712],"domain_scores_gemma":[0.9989777,0.0004181296,0.0002953249,0.00004606544,0.0001484489,0.0001143626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001218228,0.0007258044,0.07455833,0.000380602,0.0005282253,0.001588731,0.0001388444,0.8204783,0.004365962,0.06308259,0.01422032,0.01871409],"study_design_scores_gemma":[0.000421916,0.0009716001,0.0613033,0.0001861474,0.0007871395,0.000242418,0.0009940729,0.8218344,0.006075672,0.08599628,0.02089082,0.0002962481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934958,0.003010291,0.006609693,0.008809398,0.0003115133,0.00006534369,0.00767909,0.0002545714,0.03830203],"genre_scores_gemma":[0.989754,0.0009759818,0.0002839812,0.000213184,0.00003854834,0.00001813196,0.001035131,0.00001917388,0.007661913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04434445,"threshold_uncertainty_score":0.08817267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748681050235251,"score_gpt":0.2388854113069619,"score_spread":0.2213986008046094,"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."}}