{"id":"W4212829201","doi":"10.1002/crso.20179","title":"Evaluating Impacts of 4R Nutrient Stewardship","year":2022,"lang":"en","type":"article","venue":"Crops & Soils","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Stewardship (theology); Livelihood; Agriculture; Food security; Business; Environmental stewardship; Life-cycle assessment; Carbon footprint; Environmental resource management; Tipping point (physics); Nutrient management; Quality (philosophy); Environmental planning; Environmental economics; Agricultural science; Agricultural engineering; Environmental science; Greenhouse gas; Production (economics); Engineering; Geography; Economics; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006162285,0.0001152736,0.000151525,0.00003342382,0.0002482452,0.00001799699,0.0003138211,0.00002580601,0.0008791384],"category_scores_gemma":[0.00005343227,0.0001064628,0.00007976724,0.0003199736,0.0001227492,0.00009996611,0.0005632043,0.0001509933,0.0001077287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519952,"about_ca_system_score_gemma":0.00002350346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000368573,"about_ca_topic_score_gemma":0.000005963856,"domain_scores_codex":[0.9984055,0.0001152033,0.0002584631,0.0002592988,0.0006446671,0.0003168247],"domain_scores_gemma":[0.999397,0.00004930617,0.0001321305,0.0003100888,0.000009708335,0.0001018141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009887773,0.0003659006,0.9604797,0.00003045527,0.00001915047,0.00001662118,0.003631699,0.01488169,0.006845495,0.0003492097,0.001567305,0.01171391],"study_design_scores_gemma":[0.006088276,0.003593411,0.7448333,0.00009189163,0.0002055846,0.0001275055,0.005084402,0.06501312,0.03911866,0.1122743,0.02180625,0.001763289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995536,0.00006398265,0.00006414979,0.0001135968,0.0002520388,0.0001733499,0.00002429157,0.00003595659,0.003736618],"genre_scores_gemma":[0.9989007,0.00000602955,0.0005037696,0.0001526853,0.00002748275,0.00003358366,0.00001484982,0.00001568355,0.0003452595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2156464,"threshold_uncertainty_score":0.9625949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657739610462601,"score_gpt":0.2886615668936088,"score_spread":0.2620841707889828,"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."}}