{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005195203,0.0001622752,0.0002246046,0.0000517081,0.0002556217,0.0001266601,0.0001421042,0.00008747557,0.00002496294],"category_scores_gemma":[0.00008053884,0.0000631441,0.00002684623,0.0002323462,0.0001657368,0.0002242364,0.0001408865,0.0001192607,0.000002365028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950261,"about_ca_system_score_gemma":0.000007700289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006884353,"about_ca_topic_score_gemma":0.001963641,"domain_scores_codex":[0.9983382,0.00005440809,0.0003205383,0.0004854516,0.0003361405,0.0004652659],"domain_scores_gemma":[0.9996138,0.00009958287,0.00004859207,0.00007422035,0.00007308522,0.00009073381],"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":[0.00006815069,0.00007053186,0.266458,0.00001858554,0.000004558769,0.00001204189,0.0002154783,0.00004240216,0.7321438,0.000006447449,0.0001967648,0.0007632086],"study_design_scores_gemma":[0.0002140812,0.00009049874,0.4264567,0.00009336771,0.000005478669,0.000007969014,0.0002444818,0.0005927971,0.5719066,0.00009180077,0.000173825,0.0001224412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985839,0.00006872465,0.00007059476,0.0006077833,0.0003746166,0.0001992886,0.00005169148,0.00001174165,0.00003170254],"genre_scores_gemma":[0.9994392,0.00002191798,0.00005794658,0.00005728047,0.0000299643,0.00001325599,0.0002838824,0.000001517177,0.00009505418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602373,"threshold_uncertainty_score":0.2574942,"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."}}