{"id":"W3138716643","doi":"10.3389/fpls.2021.581127","title":"Soil Water Deficit and Fertilizer Placement Effects on Root Biomass Distribution, Soil Water Extraction, Water Use, Yield, and Yield Components of Soybean [Glycine max (L.) Merr.] Grown in 1-m Rooting Columns","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agricultural Adaptation Council; Grain Farmers of Ontario","keywords":"Agronomy; Shoot; Fertilizer; Dry matter; Soil water; Point of delivery; Field capacity; Biomass (ecology); Water-use efficiency; Environmental science; Biology; Horticulture; Irrigation; Soil science","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":[0.00012177,0.0004634241,0.0003611851,0.0002553979,0.0001620721,0.0002357676,0.0002933829,0.0003113942,0.0009296617],"category_scores_gemma":[0.0001946004,0.0003120397,0.0001947181,0.000213933,0.0002620938,0.0003249662,0.0002698234,0.000845786,0.0001254511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006740046,"about_ca_system_score_gemma":0.0003544914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006712446,"about_ca_topic_score_gemma":0.01151701,"domain_scores_codex":[0.9998116,0.00002361386,0.00002036508,0.00007658599,0.00002483914,0.00004307897],"domain_scores_gemma":[0.9995814,0.00008348548,0.0001022355,0.00002058411,0.00003637582,0.0001759844],"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":[0.0007061548,0.0000769809,0.001323882,0.00002959673,0.000009826163,0.000036657,0.00003045636,0.0001418008,0.9966518,0.0000148104,0.00002788856,0.0009500888],"study_design_scores_gemma":[0.0001349994,0.003185359,0.1586327,0.000012449,0.0001107602,0.0001491102,0.0002172883,0.003870636,0.832222,0.00009411495,0.001325049,0.00004567346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990293,0.0001423305,0.0002212954,0.0000218003,0.000007862965,0.00001021531,0.000304061,0.00001674121,0.0002464287],"genre_scores_gemma":[0.9973881,0.0001064883,0.0005598316,0.00006429654,0.000004150075,0.00002868289,0.0006243539,0.00002379851,0.001200265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006712446,"threshold_uncertainty_score":0.01334673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208802302355836,"score_gpt":0.2047367088394435,"score_spread":0.1838564786038599,"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."}}