{"id":"W2463191400","doi":"","title":"Weekly Outlook: Soybean Stocks, Acreage, and Weather","year":2016,"lang":"en","type":"article","venue":"farmdoc daily","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bushel; Quarter (Canadian coin); Agricultural economics; Agribusiness; Agricultural science; Geography; Environmental science; Economics; Agriculture; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746655,0.0009228592,0.0003157872,0.001389832,0.0002274457,0.0009876518,0.0003157305,0.0003881995,0.01927412],"category_scores_gemma":[0.001019534,0.0001903932,0.0002763623,0.00236043,0.00005451114,0.0007436122,0.0003408917,0.000891946,0.01678341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008432886,"about_ca_system_score_gemma":0.0008819497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05422518,"about_ca_topic_score_gemma":0.05138144,"domain_scores_codex":[0.9997786,0.00001465054,0.0000161431,0.00002237058,0.0001381623,0.00003017683],"domain_scores_gemma":[0.9989831,0.00003084804,0.0001327037,0.00003633775,0.0006919822,0.0001250415],"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":[0.0001906706,0.00005268078,0.01732087,0.0003377442,0.00004165974,0.00005849656,0.00004605007,0.0008021481,0.0004954524,0.0007583798,0.9398606,0.0400352],"study_design_scores_gemma":[0.00006127277,0.000116652,0.1985121,0.0001401224,0.0000505542,0.00007538836,0.0001592751,0.001659561,0.000559081,0.0005447762,0.7980815,0.00003965469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01350885,0.001841495,0.0007366362,0.001126093,0.0009111271,0.0000898453,0.9293897,0.001317839,0.05107842],"genre_scores_gemma":[0.04709465,0.002934576,0.001799785,0.0003637325,0.0003012758,0.0001775309,0.9137204,0.0002280736,0.03337996],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05422518,"threshold_uncertainty_score":0.1078191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247924534812958,"score_gpt":0.2278215973226553,"score_spread":0.2053423519745257,"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."}}