{"id":"W2589241438","doi":"10.2134/jeq2016.07.0280","title":"Influence of Cattle Trails on Runoff Quantity and Quality","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Surface runoff; Hydrology (agriculture); Environmental science; Water quality; Sediment; Infiltration (HVAC); Pasture; Nutrient; Runoff curve number; Total suspended solids; Nonpoint source pollution; First flush; Agronomy; Ecology; Environmental engineering; Geology; Biology; Geography; Chemical oxygen demand; Stormwater","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001357572,0.0001528126,0.0003519299,0.00002679197,0.0002250332,0.00003618266,0.0004487043,0.0000792911,0.00009694774],"category_scores_gemma":[0.0001635243,0.0001239588,0.0001234191,0.00002389242,0.0008556903,0.0005392726,0.0002382294,0.0002167108,0.00003682709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404699,"about_ca_system_score_gemma":0.000006751402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006103505,"about_ca_topic_score_gemma":0.00003330418,"domain_scores_codex":[0.998131,0.0001639773,0.0007067677,0.0002066261,0.000600602,0.0001910792],"domain_scores_gemma":[0.9981119,0.0001089295,0.001135849,0.0004773728,0.000004898738,0.000161048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001433274,0.0003269262,0.9820325,0.0000165685,0.00001829312,0.000003828793,0.000290413,0.0006442504,0.01439683,0.0001708496,0.00002615693,0.001929988],"study_design_scores_gemma":[0.0007011414,0.0002341719,0.9922755,0.00002529686,0.00001684948,0.00001112096,0.000106772,0.00001177216,0.004674511,0.001497998,0.0002998014,0.0001450158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990156,0.00003433067,0.0000218184,0.0001681812,0.00009324917,0.00007915086,0.00005474209,0.000003467299,0.0005294579],"genre_scores_gemma":[0.9994162,0.0001290889,0.0002503823,0.00009344722,0.00003128768,8.281813e-7,0.000001311252,0.000008381218,0.00006905552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024298,"threshold_uncertainty_score":0.5054894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315938022965575,"score_gpt":0.3033407365215816,"score_spread":0.2717469342250241,"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."}}