{"id":"W2008697957","doi":"10.2134/jeq2005.0172","title":"Phosphorus Sequestration by Chemical Amendments to Reduce Leaching from Wastewater Applications","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Minnesota Pollution Control Agency","keywords":"Alum; Leaching (pedology); Amendment; Chemistry; Ferric; Phosphorus; Lysimeter; Environmental chemistry; Wastewater; Lime; Soil water; Leachate; Environmental engineering; Animal science; Environmental science; Inorganic chemistry; Metallurgy; Soil science","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":[0.0003140336,0.0001545323,0.0001886631,0.00002026851,0.00008836065,0.00003882551,0.0002531038,0.00007094569,0.000192604],"category_scores_gemma":[0.000005425662,0.0001364037,0.00009276022,0.00006566385,0.00009965893,0.0002948661,0.0001209928,0.0001892099,0.0002172035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005669353,"about_ca_system_score_gemma":0.000003955985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000519738,"about_ca_topic_score_gemma":0.000001551062,"domain_scores_codex":[0.9983292,0.00007849446,0.0006113421,0.0002460967,0.0005167847,0.0002180379],"domain_scores_gemma":[0.9993204,0.00003312811,0.0002904311,0.0001961394,0.000002330488,0.0001575825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007508599,0.0005459233,0.2478747,0.000001780826,0.00001464977,0.00000355124,0.0001658764,0.0003949845,0.744585,0.00001751517,0.002463557,0.003857446],"study_design_scores_gemma":[0.001866491,0.0002486022,0.3491895,0.00003171241,0.0000881208,0.00003374764,0.0004614343,0.0001646545,0.5786152,0.01497939,0.05355351,0.000767604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969683,0.0000564439,0.001820019,0.0003055184,0.00008667343,0.0001632925,0.000108756,0.00001060626,0.0004803782],"genre_scores_gemma":[0.9965129,0.00001817431,0.002811047,0.0001953068,0.0001381505,0.00001143047,0.00009069013,0.00001462553,0.0002076457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659697,"threshold_uncertainty_score":0.5562379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009454052157901493,"score_gpt":0.2491399796946452,"score_spread":0.2396859275367437,"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."}}