{"id":"W2074874630","doi":"10.1016/s0167-1987(02)00061-2","title":"Corn response to potassium placement in conservation tillage","year":2002,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Tillage; Agronomy; Sowing; Fertilizer; Mulch; Potassium; Environmental science; Field experiment; No-till farming; Human fertilization; Conventional tillage; Soil water; Potash; Soil fertility; Yield (engineering); Mathematics; Chemistry; Biology; Soil science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001554882,0.0001005904,0.0001276899,0.00006985293,0.0001787758,0.00008853154,0.0001451097,0.00009116215,0.0004200812],"category_scores_gemma":[0.0002832023,0.00004519196,0.00003066153,0.0007435305,0.00008407775,0.0000512559,0.0001398518,0.0001847274,0.0001586378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006507188,"about_ca_system_score_gemma":0.000008768565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007343812,"about_ca_topic_score_gemma":0.002390284,"domain_scores_codex":[0.9982699,0.0003789296,0.0001670941,0.0003025375,0.0004388736,0.0004427289],"domain_scores_gemma":[0.9990743,0.0005395133,0.00001968041,0.00007314423,0.0001035998,0.0001897694],"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":[0.003365492,0.0006488142,0.2540603,0.00005853764,0.00003233854,0.0003617393,0.002809982,0.0000413753,0.5688675,0.0009098868,0.03552712,0.1333169],"study_design_scores_gemma":[0.001014007,0.001531326,0.9142903,0.00007368684,0.00000459227,0.00002888653,0.002598443,0.02080889,0.003774464,0.0006627533,0.05472002,0.00049263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98649,0.0001943625,2.220673e-7,0.008213311,0.00004314713,0.0002373352,0.00001647391,0.00002921621,0.004775897],"genre_scores_gemma":[0.9957922,0.000134538,0.00001321748,0.0004363128,0.00006703988,0.00003115656,0.000008411226,0.000001417804,0.003515767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.66023,"threshold_uncertainty_score":0.4599595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0677926393301837,"score_gpt":0.2978621694800002,"score_spread":0.2300695301498165,"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."}}