{"id":"W4224106252","doi":"10.1002/crso.20191","title":"Climate‐Smart Fertilizers in 4R Nutrient Stewardship","year":2022,"lang":"en","type":"article","venue":"Crops & Soils","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Stewardship (theology); Carbon footprint; Agriculture; Environmental stewardship; Climate change; Business; Fertilizer; Environmental economics; Environmental resource management; Computer science; Environmental science; Greenhouse gas; Political science; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0108252,0.0004529946,0.000331557,0.0006941616,0.003315875,0.007029937,0.001255332,0.00499244,0.01834692],"category_scores_gemma":[0.009202663,0.0003360515,0.0005739559,0.0007151268,0.008820814,0.009518142,0.009028962,0.007679227,0.003513446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004884736,"about_ca_system_score_gemma":0.009268447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082533,"about_ca_topic_score_gemma":0.009625454,"domain_scores_codex":[0.9933931,0.003011726,0.000222656,0.000617304,0.001982431,0.0007728679],"domain_scores_gemma":[0.9926893,0.002851168,0.000617112,0.0006416249,0.0009872817,0.002213405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009777731,0.0003693498,0.002985369,0.0004318649,0.0000294387,0.0002849494,0.003039839,0.001982454,0.002548971,0.6962566,0.09861657,0.1933568],"study_design_scores_gemma":[0.00001873515,0.0001267336,0.002322067,0.0005165282,0.00001374995,0.0001688812,0.001775722,0.001246001,0.001836314,0.2199111,0.7719945,0.00006963302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01954695,0.01307783,0.05970987,0.4362906,0.006089365,0.0001798347,0.0001454283,0.001153191,0.4638069],"genre_scores_gemma":[0.6016759,0.01893752,0.09366356,0.1539947,0.003350354,0.0003140696,0.0001350962,0.0007278553,0.1272009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01834692,"threshold_uncertainty_score":0.06137651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009665650207340597,"score_gpt":0.2161673686988226,"score_spread":0.2065017184914821,"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."}}