{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007636342,0.0001815779,0.0002502097,0.0001362794,0.0004042344,0.000318416,0.0004120991,0.0001232961,0.0009091952],"category_scores_gemma":[0.00008499602,0.0001171087,0.00009183036,0.0001923228,0.0005546308,0.0005113907,0.0005427423,0.0009084039,0.001659849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763134,"about_ca_system_score_gemma":0.00002210959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03198563,"about_ca_topic_score_gemma":0.01280258,"domain_scores_codex":[0.9955056,0.001348164,0.0006139925,0.0004103061,0.001094801,0.001027145],"domain_scores_gemma":[0.9990259,0.0001987294,0.00005830659,0.0003149262,0.00003964595,0.0003625151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003256146,0.0005525184,0.963227,0.00002731384,0.00003343882,0.00001231484,0.02492601,0.001348858,0.002498264,0.000229493,0.000738757,0.006080458],"study_design_scores_gemma":[0.005897712,0.000423407,0.8268766,0.00009917641,0.00001925062,0.0004052989,0.01411244,0.001329005,0.005510237,0.1296837,0.01432324,0.00131983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867494,0.00003654803,0.00008814048,0.009918469,0.0000662474,0.0001349575,0.000004461103,0.00001284137,0.002988916],"genre_scores_gemma":[0.9900442,0.00003643183,0.0001575462,0.0003266854,0.0001723768,0.00001087032,0.000008114553,0.0000221472,0.009221583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363503,"threshold_uncertainty_score":0.9991175,"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."}}