{"id":"W2512524241","doi":"10.2136/sssaj2016.02.0030","title":"Postseason Diagnosis of Potassium Deficiency in Soybean Using Seed Potassium Concentration","year":2016,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Arkansas; Division of Agriculture, University of Arkansas System","keywords":"Fertilizer; Nutrient; Yield (engineering); Potassium; Limiting; Animal science; Agronomy; Soil water; Chemistry; Biology; Ecology","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":[0.000443549,0.0001718917,0.0002145532,0.001006673,0.0002464052,0.0003078971,0.0002135006,0.0001477924,0.0004731191],"category_scores_gemma":[0.001048793,0.000134694,0.0001462337,0.0005764927,0.0001345969,0.0001994319,0.0002273375,0.0001331747,0.0001256736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007475099,"about_ca_system_score_gemma":0.0003956676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691227,"about_ca_topic_score_gemma":0.1082923,"domain_scores_codex":[0.999679,0.00004702114,0.00004642717,0.0001075896,0.00009164255,0.00002827177],"domain_scores_gemma":[0.9989718,0.0002190311,0.0003749881,0.00005335089,0.0002895857,0.00009122775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001630807,0.00001852029,0.9686375,0.00001858672,0.00003344055,0.00009063969,0.00007863048,0.0001453702,0.02618144,0.00001126016,0.00006690597,0.004554641],"study_design_scores_gemma":[0.000001598343,0.00004818385,0.9957731,0.000001988064,0.000009642617,0.00008365432,0.00005400186,0.000312236,0.003556852,0.000007610732,0.0001487545,0.000002412299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986717,0.00009207022,0.0003543307,0.00000463488,0.000001228203,0.000009404856,0.0004878905,0.00001387093,0.0003650383],"genre_scores_gemma":[0.99791,0.00005413535,0.001004377,0.000008064716,6.756194e-7,0.00000927054,0.0007764954,0.000004672639,0.0002322893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691227,"threshold_uncertainty_score":0.05351126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550405746892895,"score_gpt":0.2385865410238117,"score_spread":0.2230824835548828,"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."}}