{"id":"W1481286108","doi":"10.5539/sar.v4n3p60","title":"Water Quality in Organic Systems","year":2015,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; Cooperative State Research, Education, and Extension Service; Iowa State University; U.S. Department of Agriculture","keywords":"Environmental science; Drainage; Subsurface flow; Water quality; Leaching (pedology); Soil water; Nutrient; Pasture; Agronomy; Water use; Hydrology (agriculture); Groundwater; Soil science; Geology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003609728,0.0001242687,0.0001628856,0.00008483752,0.0001575073,0.0001381109,0.0004026548,0.0001353754,0.0001349516],"category_scores_gemma":[0.0001792835,0.00006592763,0.0000280662,0.001024708,0.0001397749,0.0003291045,0.0006665688,0.0004281472,0.001123573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421008,"about_ca_system_score_gemma":0.00003738607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086927,"about_ca_topic_score_gemma":0.0001660087,"domain_scores_codex":[0.9967617,0.0005061661,0.0002296574,0.0003679425,0.001014599,0.001119943],"domain_scores_gemma":[0.9992266,0.00004731641,0.00001902144,0.0002815131,0.0001659923,0.0002595035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001176399,0.0004757249,0.9163657,0.0001882873,0.00001348999,0.000586597,0.007276765,0.004378639,0.002343189,0.005976226,0.06197115,0.0003065692],"study_design_scores_gemma":[0.002487248,0.0003949769,0.09086883,0.00004070496,0.000007511242,0.00005721187,0.1209001,0.0008377275,0.002573521,0.05319148,0.7277676,0.0008731074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571557,0.0001247425,0.00002003996,0.0008949776,0.00008142426,0.0005100425,0.000001090832,0.0000436421,0.04116834],"genre_scores_gemma":[0.948887,0.00001567634,0.00001337025,0.00001906429,0.00007257522,0.00006696524,0.00002254721,0.00001035502,0.05089248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8254969,"threshold_uncertainty_score":0.9996542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04118974464708006,"score_gpt":0.3179353250377717,"score_spread":0.2767455803906916,"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."}}