{"id":"W1991882629","doi":"10.5539/jas.v6n2p24","title":"Biochar Can Enhance Potassium Fertilization Efficiency and Economic Feasibility of Maize Cultivation","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biochar; Fertilizer; Leaching (pedology); Potassium; Chemistry; Agronomy; Potash; Randomized block design; Amendment; Nutrient; Human fertilization; Animal science; Environmental science; Soil water; Pyrolysis; Biology; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739532,0.0001044257,0.0002044426,0.0000207224,0.000215308,0.00007306783,0.0003199548,0.00004934456,0.00004450122],"category_scores_gemma":[0.0003051653,0.00003384563,0.00007506456,0.0003738052,0.0003005773,0.0003956211,0.00006003556,0.00009486281,0.000001860892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009843331,"about_ca_system_score_gemma":0.00003172063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001973777,"about_ca_topic_score_gemma":0.0003150062,"domain_scores_codex":[0.9987753,0.000061723,0.0004277751,0.0002226875,0.0003152359,0.0001972832],"domain_scores_gemma":[0.9989656,0.0001121874,0.0004130164,0.00005020151,0.0003209065,0.0001381463],"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":[0.0000231929,0.00004992502,0.03624571,0.000006191243,0.000001793642,1.25046e-7,0.0001396624,0.00004039692,0.95556,0.0001691458,0.00003676168,0.007727123],"study_design_scores_gemma":[0.00008669416,0.0002639515,0.908791,0.00002161877,0.000006259477,0.00001314987,0.0002377221,0.0001026784,0.09015682,0.0001788617,0.00005839559,0.00008283382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982872,0.00006520515,0.00002502329,0.001124542,0.000193824,0.00009468976,0.000006638959,0.00000814305,0.0001947325],"genre_scores_gemma":[0.9997043,0.0000261871,0.00007149977,0.00003521489,0.0001311702,5.651013e-7,0.000002162034,2.947473e-7,0.00002859092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8725453,"threshold_uncertainty_score":0.1655997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528036981590617,"score_gpt":0.2395104572696726,"score_spread":0.2242300874537664,"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."}}