{"id":"W4410038117","doi":"10.1007/s11104-025-07499-z","title":"Long-term field trials assess temporal trends and growing season weather on soybean seed yield, nutrient composition and nitrogen dynamics","year":2025,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western Forest Products; Agriculture and Agri-Food Canada","funders":"China Postdoctoral Science Foundation; Agriculture and Agri-Food Canada; National Natural Science Foundation of China","keywords":"Yield (engineering); Nutrient; Agronomy; Nitrogen; Growing season; Environmental science; Field experiment; Biology; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001736939,0.0007638424,0.0009295949,0.0003538884,0.0006845127,0.0005096112,0.0005827473,0.0006785234,0.001032192],"category_scores_gemma":[0.001493561,0.0003684215,0.0004680538,0.0003423346,0.0005871856,0.001079481,0.0003810613,0.001304494,0.0002139079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009537457,"about_ca_system_score_gemma":0.0006975676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004432795,"about_ca_topic_score_gemma":0.01420902,"domain_scores_codex":[0.9995311,0.000129439,0.00004546614,0.0001579553,0.00006013184,0.00007582596],"domain_scores_gemma":[0.9956995,0.001636046,0.001059465,0.000348332,0.00037331,0.0008832742],"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":[0.1181355,0.04598482,0.2507067,0.0003553865,0.001127508,0.0002318296,0.0007408812,0.00257128,0.5493733,0.0002375451,0.001559193,0.028976],"study_design_scores_gemma":[0.001613199,0.09282977,0.8340057,0.00002291008,0.0004868826,0.000141792,0.000527474,0.003851803,0.06475129,0.0003475139,0.001333948,0.00008788354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992041,0.00008246565,0.0002312052,0.00001800651,0.00001473829,0.00003631949,0.0002748504,0.00001111093,0.0001271831],"genre_scores_gemma":[0.9951245,0.0001404896,0.0009421652,0.0001654979,0.0000270117,0.0002906736,0.001464596,0.0000245487,0.001820455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004432795,"threshold_uncertainty_score":0.00918591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352535249120732,"score_gpt":0.2516740587945498,"score_spread":0.2181487063033425,"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."}}