{"id":"W2125544102","doi":"10.2166/wqrj.2005.016","title":"Soil and Groundwater Quality under a Cattle Feedlot in Southern Alberta","year":2005,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Agriculture Food and Rural Development","funders":"","keywords":"Feedlot; Groundwater; Water table; Hydrology (agriculture); Environmental science; Manure; Animal science; Water quality; Soil test; Soil water; Agronomy; Geology; Soil science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001963277,0.0002000909,0.0001633595,0.0004442853,0.0008838818,0.0006978482,0.0003188967,0.0001963089,0.0003984413],"category_scores_gemma":[0.0001950778,0.0001476362,0.0001091341,0.0007543938,0.0004837531,0.0001187328,0.0002292628,0.0001665244,0.00005568214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008102344,"about_ca_system_score_gemma":0.003551581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7583539,"about_ca_topic_score_gemma":0.9176013,"domain_scores_codex":[0.9997724,0.0000184556,0.000005991863,0.00004033178,0.0001107455,0.00005216926],"domain_scores_gemma":[0.9997258,0.00001893212,0.00005924319,0.000007531093,0.0001299407,0.00005859343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008233606,0.000191909,0.8603516,0.00008639973,0.00005418427,0.001501975,0.00132127,0.002299476,0.1152812,0.000100452,0.0002858742,0.01770225],"study_design_scores_gemma":[0.000008525183,0.000177512,0.9940852,0.000005829037,0.00001382671,0.00008743377,0.001039838,0.000847562,0.003076319,0.0000186245,0.0006325819,0.000006709098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993968,0.00003647316,0.00006201283,0.00001200746,8.512455e-7,0.00000488863,0.00008042395,0.000005184344,0.0004013516],"genre_scores_gemma":[0.9987969,0.00005866138,0.000284872,0.00001425813,9.358448e-7,0.000002821622,0.0001872233,9.269472e-7,0.0006533125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2416461,"threshold_uncertainty_score":0.4861383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831047239360385,"score_gpt":0.3646902810766448,"score_spread":0.2815855571406063,"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."}}