{"id":"W4410330560","doi":"10.1002/jeq2.70034","title":"Characterizing the fine‐scale spatial distribution of soil phosphorus for efficient phosphorus management in an Illinois tile‐drained field","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Illinois Nutrient Research and Education Council","keywords":"Environmental science; Hydrology (agriculture); Spatial variability; Soil science; Fertilizer; Kriging; Tile drainage; Soil water; Mathematics; Agronomy; Geology; Statistics","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":[0.0009627568,0.0001557333,0.0002684196,0.00003560966,0.0001089662,0.00002086404,0.0003411455,0.00007434672,0.00005351942],"category_scores_gemma":[0.00002611379,0.0001155595,0.00016991,0.0001305094,0.0001593274,0.0001241945,0.0001864799,0.0001733894,0.000004867806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740092,"about_ca_system_score_gemma":0.000007220229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002577346,"about_ca_topic_score_gemma":0.00003898559,"domain_scores_codex":[0.9982735,0.0001107546,0.0007699846,0.0002154679,0.0003808534,0.0002494264],"domain_scores_gemma":[0.9991358,0.0001264326,0.0004064621,0.0002593017,0.000005706967,0.00006629065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001535838,0.002095999,0.8661906,0.00005885961,0.00007798432,0.00001158219,0.001453335,0.006239351,0.008070169,0.0001922424,0.0002759267,0.1137981],"study_design_scores_gemma":[0.00149916,0.0003142559,0.9696782,0.00004903188,0.0000584051,0.00000309006,0.0007095478,0.006652222,0.01761881,0.001024305,0.002232274,0.0001606875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930631,0.00007396586,0.00535066,0.000600177,0.0003173158,0.0003268448,0.00009557527,0.000004557144,0.0001678075],"genre_scores_gemma":[0.9992453,0.00009443641,0.0002584064,0.0002286802,0.00003295771,0.00001494263,0.00003643612,0.000007619099,0.00008123245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136374,"threshold_uncertainty_score":0.4712381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928830564593841,"score_gpt":0.2508737694879299,"score_spread":0.2415854638419915,"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."}}