{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009136476,0.0001590123,0.0001173246,0.00002670679,0.000074064,0.00006840782,0.00008978885,0.00004162853,0.0001567929],"category_scores_gemma":[0.00001169286,0.0001470408,0.00003566183,0.0001185759,0.00001831633,0.0001957582,0.00006218188,0.0001247173,0.0001074212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006831995,"about_ca_system_score_gemma":0.00001565975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002910466,"about_ca_topic_score_gemma":0.000005548045,"domain_scores_codex":[0.9992144,0.00003877695,0.000144513,0.000208214,0.0001253212,0.00026885],"domain_scores_gemma":[0.9996551,0.00006308462,0.00001992158,0.000131368,0.00001600726,0.0001145525],"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":[0.0002098014,0.00008564705,0.007253191,0.0001600242,0.0007262895,0.0003144106,0.0006201912,0.001886632,0.9064941,0.0006674737,0.02171211,0.05987006],"study_design_scores_gemma":[0.001496487,0.00007434837,0.02436578,0.0002602322,0.0001142088,0.00006281745,0.0008980548,0.0007681683,0.9174001,0.0005588831,0.0530092,0.0009916949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897667,0.002342981,0.0002786244,0.0001903215,0.00006604623,0.0001130824,0.00001180601,0.0001278732,0.00710254],"genre_scores_gemma":[0.9973301,0.00009017109,0.0006767256,0.0002866927,0.00002528949,0.00004312937,0.00003315524,0.00001594485,0.001498755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05887837,"threshold_uncertainty_score":0.599615,"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."}}