{"id":"W2086529297","doi":"10.1175/2009ei288.1","title":"Characterizing the Spatial Patterns of Global Fertilizer Application and Manure Production","year":2010,"lang":"en","type":"article","venue":"Earth Interactions","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":455,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Environmental science; Manure; Fertilizer; Nutrient; Eutrophication; Agriculture; Agronomy; Nutrient management; Soil fertility; Surface runoff; Intensive farming; Soil water; Soil science; Ecology; Biology","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":[0.00005332262,0.00005318576,0.00004392516,0.000006803976,0.00009950045,0.00001695502,0.00006437807,0.00002195901,0.0001180982],"category_scores_gemma":[0.00001353209,0.00003804751,0.00002032391,0.00005330391,0.00006007104,0.000158696,0.00005071745,0.0001194218,0.00005925115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009170129,"about_ca_system_score_gemma":0.000001866056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007979252,"about_ca_topic_score_gemma":0.001806193,"domain_scores_codex":[0.999587,0.00001343077,0.000100979,0.0001367484,0.00008504001,0.00007679647],"domain_scores_gemma":[0.9997358,0.000009811391,0.00005928766,0.0001619906,0.000007476022,0.00002561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001120298,0.00003448665,0.961475,0.000002444487,0.000003517619,1.195362e-7,0.0001760688,0.00001190745,0.02354144,0.00007132457,0.00002399244,0.01464855],"study_design_scores_gemma":[0.00005162391,0.00001155329,0.9838634,0.000004227706,0.000007271272,0.00002026086,0.00004566145,0.001259852,0.003927682,0.000410036,0.0103552,0.00004322701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995874,0.000001036598,0.001303301,0.001401637,0.000594622,0.0001307031,0.00001241497,0.00001732691,0.0006648887],"genre_scores_gemma":[0.9994994,0.000003132763,0.0001150788,0.0000588944,0.00009447025,0.00001867628,0.000009553613,0.000003315359,0.0001974478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238846,"threshold_uncertainty_score":0.1551532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005338614337838706,"score_gpt":0.2228908596617331,"score_spread":0.2175522453238944,"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."}}