{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647772,0.000133404,0.0001242974,0.0003943462,0.0001922174,0.0003824962,0.0002415391,0.0001524421,0.0003295986],"category_scores_gemma":[0.0002217623,0.0001175561,0.0000982327,0.0004591004,0.0001975791,0.0002107596,0.0001983628,0.0001378504,0.00008482957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739262,"about_ca_system_score_gemma":0.000595101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04726441,"about_ca_topic_score_gemma":0.13121,"domain_scores_codex":[0.9999241,0.000008352235,0.000003963059,0.00003597255,0.00001563119,0.0000120719],"domain_scores_gemma":[0.9998537,0.00003817179,0.0000365525,0.00001239403,0.00004182579,0.00001725549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000424444,0.0001804658,0.7655131,0.00008093574,0.00003876501,0.0001885567,0.0004603159,0.0281716,0.1602519,0.0002322589,0.0004225724,0.04403515],"study_design_scores_gemma":[0.00001770026,0.0001119097,0.9154029,0.00001151766,0.00002268886,0.00006001068,0.0002899682,0.07257457,0.01064495,0.0001647491,0.0006816678,0.00001724119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970934,0.00002882639,0.002128941,0.00001382753,5.931931e-7,0.00001074184,0.0002097008,0.00004398171,0.0004699313],"genre_scores_gemma":[0.9951683,0.00003352403,0.004130424,0.000008398825,8.674217e-7,0.00002064024,0.0003003864,0.000005703605,0.0003318673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04726441,"threshold_uncertainty_score":0.09397858,"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."}}