{"id":"W3207798678","doi":"10.3390/agronomy11102055","title":"Potato Yield Response and Seasonal Nitrate Leaching as Influenced by Nitrogen Management","year":2021,"lang":"en","type":"article","venue":"Agronomy","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Leaching (pedology); Urea; Chemistry; Irrigation; Fertilizer; Agronomy; Nitrate; Nitrogen; Ammonium nitrate; Ammonium; Animal science; Soil water; Environmental science; Biology; Soil science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189515,0.0002619232,0.0003061146,0.0001603722,0.0002660392,0.0003886968,0.0003292902,0.0002654835,0.0004163371],"category_scores_gemma":[0.0003890755,0.000160269,0.0001843884,0.0001902259,0.000221794,0.000201018,0.0002047945,0.0003065402,0.00008463814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246549,"about_ca_system_score_gemma":0.0009422533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1736284,"about_ca_topic_score_gemma":0.3581625,"domain_scores_codex":[0.9998236,0.00002225977,0.00001133244,0.00005764376,0.00004528758,0.00003985763],"domain_scores_gemma":[0.9995696,0.00006178428,0.0001201936,0.00001723921,0.0001432359,0.00008795993],"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":[0.001863259,0.0002687848,0.1665645,0.0001243778,0.0001377406,0.0004065292,0.0003228839,0.001363032,0.8174116,0.00002907438,0.0002440077,0.01126413],"study_design_scores_gemma":[0.00001291883,0.0009040961,0.9764905,0.000004067138,0.00002861896,0.0000762218,0.0002328395,0.001254342,0.02029334,0.00001606078,0.0006699326,0.0000171699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995005,0.00008289666,0.00007843103,0.00001037465,0.000001484485,0.000007431662,0.0001058684,0.000004576069,0.000208373],"genre_scores_gemma":[0.9984469,0.00009031584,0.0001807624,0.00003506378,0.000001361157,0.00001399527,0.0003473898,0.000004715624,0.0008796077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1736284,"threshold_uncertainty_score":0.3452355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004850122358719998,"score_gpt":0.1940886884308922,"score_spread":0.1892385660721722,"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."}}