{"id":"W4400637502","doi":"10.1787/abed83b9-fi","title":"OECD-FAO Agricultural Outlook 2017-2026 (Summary in Finnish)","year":2017,"lang":"en","type":"other","venue":"OECD agricultural outlook .../OECD-FAO agricultural outlook","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":0,"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; Geography; Environmental science; Regional science; Economics; 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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002110615,0.005725049,0.005562296,0.0005266247,0.00253495,0.003306891,0.00773262,0.004539,0.0193839],"category_scores_gemma":[0.0003541314,0.002246103,0.003759702,0.00103459,0.001277935,0.002670592,0.002990286,0.005448604,0.02536368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856844,"about_ca_system_score_gemma":0.0003049316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01004274,"about_ca_topic_score_gemma":0.05281406,"domain_scores_codex":[0.9767494,0.002224362,0.003448922,0.005861087,0.004811342,0.006904844],"domain_scores_gemma":[0.9896322,0.001004019,0.003602004,0.001831254,0.0008386463,0.003091807],"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":[0.0001428767,0.0009553843,0.002185753,0.0003244253,0.0007496296,0.0008040706,0.0003097339,0.00001659599,0.1060601,0.0002724488,0.861189,0.02698995],"study_design_scores_gemma":[0.002777063,0.0009912684,0.2657136,0.001488513,0.0005254758,0.0007433099,0.002541558,0.00000815674,0.002478928,0.00009826146,0.7164776,0.006156296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1473281,0.02135716,0.000003993578,0.01074755,0.006637399,0.01059544,0.006061218,0.003845364,0.7934238],"genre_scores_gemma":[0.07012223,0.005658173,0.0002911457,0.0009326601,0.01207475,0.001168906,0.01412566,0.0002413571,0.8953851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2635278,"threshold_uncertainty_score":0.9987636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984755640383869,"score_gpt":0.2421281836616601,"score_spread":0.2222806272578214,"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."}}