{"id":"W2809086730","doi":"10.2134/agronj2018.01.0041","title":"Spring Nitrogen Management is Important for Triticale Forage Yield and Quality","year":2018,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles; Cornell University Agricultural Experiment Station; New York Farm Viability Institute; Northeast SARE","keywords":"Triticale; Forage; Sowing; Agronomy; Randomized block design; Hectare; Dry matter; Yield (engineering); Frost (temperature); Mathematics; Biology; Animal science; Agriculture; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873002,0.0002331817,0.0004574214,0.0001732657,0.0006615962,0.0007379439,0.0003454199,0.0002505102,0.002088815],"category_scores_gemma":[0.0004320485,0.0001587486,0.0001929736,0.0002778216,0.0002480806,0.0004804584,0.0003153996,0.0004586756,0.0003839614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009421522,"about_ca_system_score_gemma":0.0008924217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445914,"about_ca_topic_score_gemma":0.07101543,"domain_scores_codex":[0.9997725,0.00002875754,0.00002752819,0.00008082477,0.00006282016,0.00002758387],"domain_scores_gemma":[0.9994034,0.00008470217,0.000223761,0.00004313709,0.0001251385,0.0001200116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009286857,0.000367674,0.07221944,0.0003028124,0.000104206,0.000237047,0.0002027822,0.0006359456,0.89126,0.0001322554,0.0006253963,0.03298369],"study_design_scores_gemma":[0.00006582832,0.002643416,0.9404857,0.00004228102,0.00007632178,0.0002320148,0.000313505,0.001365614,0.04591036,0.0002713085,0.008563912,0.00002979066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966265,0.0004943018,0.0009609699,0.00007257619,0.00001427149,0.00003385554,0.0001530054,0.00002747265,0.001617093],"genre_scores_gemma":[0.9900209,0.0007453484,0.004736817,0.0001346293,0.00001535946,0.00007080772,0.000685596,0.0000549916,0.003535663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445914,"threshold_uncertainty_score":0.02874994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04807204734301845,"score_gpt":0.269823919660648,"score_spread":0.2217518723176296,"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."}}