{"id":"W2519234684","doi":"","title":"Weekly Outlook: Soybean Use Exceeded USDA Projection, Did Corn Use Fall Short?","year":2016,"lang":"en","type":"article","venue":"farmdoc daily","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bushel; Agricultural economics; Consumption (sociology); Agricultural science; Quarter (Canadian coin); Environmental science; Economics; Geography; Acre","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006863512,0.0003691658,0.0004834046,0.0003058051,0.00196408,0.00008451304,0.0003847431,0.0004935099,0.001067642],"category_scores_gemma":[0.001071315,0.0002826873,0.0001608895,0.0004139045,0.0001700281,0.001410868,0.0002782394,0.0007971997,0.003299187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181764,"about_ca_system_score_gemma":0.000535754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005394518,"about_ca_topic_score_gemma":0.007128059,"domain_scores_codex":[0.9959377,0.0005282826,0.001114911,0.0007031572,0.0005148921,0.001201062],"domain_scores_gemma":[0.9967864,0.0009620072,0.000312199,0.0008807709,0.0005602236,0.0004984112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003669255,0.0003320599,0.6665784,0.000258839,0.00009612276,0.00002401071,0.006305298,0.000003324038,0.0007789779,0.02280277,0.3000593,0.002394049],"study_design_scores_gemma":[0.001742617,0.0002393354,0.421185,0.000465032,0.000070236,0.000005584528,0.001581824,0.00009916491,0.00003203582,0.001170877,0.572879,0.0005293617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710364,0.00006296956,0.002543672,0.01042483,0.005079663,0.003125246,0.001057125,0.001042581,0.005627503],"genre_scores_gemma":[0.9577407,0.000130895,0.001315958,0.003780577,0.0008389492,0.0003272427,0.0001556816,0.00009019518,0.03561982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728197,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2579979236897388,"score_gpt":0.4339165311249002,"score_spread":0.1759186074351614,"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."}}