{"id":"W3097824081","doi":"10.5539/jas.v12n11p98","title":"Yield Response of Upland Rice as Influenced by Enhanced-Efficiency Nitrogen Fertilizers in the Brazilian Cerrado","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Goiás; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Urea; Urease; Coated urea; Randomized block design; Agronomy; Nitrogen; Sowing; Upland rice; Chemistry; Seedling; Fertilizer; Factorial experiment; Animal science; Crop; Yield (engineering); Oryza sativa; Mathematics; Biology; Materials science; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003657241,0.0002721325,0.0004285843,0.0002399292,0.0002260258,0.0003083804,0.000242258,0.0001732123,0.0004525662],"category_scores_gemma":[0.0002923147,0.0001613957,0.0002640145,0.0002770889,0.0002423363,0.0001487301,0.0001980282,0.000231268,0.00009506897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009340215,"about_ca_system_score_gemma":0.0005401985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02609983,"about_ca_topic_score_gemma":0.05183959,"domain_scores_codex":[0.9997997,0.00003060117,0.00001223878,0.00006818762,0.00003937412,0.00004998585],"domain_scores_gemma":[0.9997693,0.00002833046,0.00008492143,0.00002033647,0.00005031409,0.00004682384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007441254,0.0002275786,0.01839083,0.0001146877,0.00004371393,0.0002414376,0.000520615,0.000239001,0.9703459,0.0001564492,0.00008137171,0.008894373],"study_design_scores_gemma":[0.00006744255,0.004065738,0.7784876,0.00002546599,0.0001719385,0.0004312367,0.001124685,0.002063044,0.2063468,0.0002239258,0.006946214,0.00004598015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993481,0.0001223462,0.0001144444,0.00002199278,0.000002235077,0.000004931725,0.00003717973,0.000006195049,0.0003425206],"genre_scores_gemma":[0.9981691,0.0001950834,0.0005369049,0.00003687668,0.000002052941,0.00001422409,0.0001222733,0.000009032994,0.0009145014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02609983,"threshold_uncertainty_score":0.0518958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820874987102179,"score_gpt":0.2417999429758151,"score_spread":0.2235911931047934,"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."}}