{"id":"W4400637688","doi":"10.1787/agr_outlook-2017-graph33-en","title":"Average annual real price change for agricultural commodities, 2017-26","year":2017,"lang":"en","type":"other","venue":"OECD agricultural outlook .../OECD-FAO agricultural outlook","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Chinese Academy of Agricultural Sciences; Economic Research Service; European Commission; U.S. Environmental Protection Agency","keywords":"Agriculture; Agricultural economics; Environmental science; Economics; Agricultural science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007235831,0.004378394,0.003771269,0.0002952956,0.002748026,0.0008960727,0.004598754,0.002425988,0.004945785],"category_scores_gemma":[0.00009544512,0.002447634,0.002120285,0.0003604074,0.001316056,0.002681147,0.003080796,0.001706438,0.01077081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203946,"about_ca_system_score_gemma":0.0000791226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00918866,"about_ca_topic_score_gemma":0.01691682,"domain_scores_codex":[0.9863576,0.0007019941,0.001902108,0.003966056,0.002788279,0.004283927],"domain_scores_gemma":[0.9924861,0.0003926661,0.003228283,0.002115406,0.0003041604,0.001473404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007201035,0.0004577841,0.0002661605,0.0002879974,0.0009195696,0.0001277663,0.001624361,0.00003573294,0.004314794,0.001864066,0.987491,0.002538742],"study_design_scores_gemma":[0.003050504,0.0008431288,0.1003532,0.0007015429,0.0008666303,0.0004604349,0.002482916,0.000009546903,0.001185516,0.0003720467,0.8837394,0.00593512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00318764,0.003111227,0.00003635418,0.003168646,0.005540783,0.006892766,0.009275462,0.003080532,0.9657066],"genre_scores_gemma":[0.03605918,0.001340012,0.001074299,0.0007878029,0.01042289,0.00295605,0.006251754,0.0009166996,0.9401913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1037516,"threshold_uncertainty_score":0.9988691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277014864884739,"score_gpt":0.228201256815796,"score_spread":0.2054311081669486,"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."}}