{"id":"W2966023753","doi":"10.3390/plants8080250","title":"Soybean Yield and Seed Composition Changes in Response to Increasing Atmospheric CO2 Concentration in Short-Season Canada","year":2019,"lang":"en","type":"article","venue":"Plants","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Phenology; Cultivar; Yield (engineering); Precipitation; Growing season; Agronomy; Biology; Animal science; Horticulture; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148278,0.000169709,0.0001545149,0.000256787,0.000327075,0.000249416,0.00024916,0.00009338828,0.0004641648],"category_scores_gemma":[0.0003380587,0.0001276131,0.0001387014,0.0003184425,0.0001827135,0.0001104981,0.0001733601,0.0002258921,0.00007119856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159656,"about_ca_system_score_gemma":0.001324267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6003808,"about_ca_topic_score_gemma":0.8032281,"domain_scores_codex":[0.9998735,0.000008092198,0.000005816676,0.00002999165,0.00005382361,0.00002868458],"domain_scores_gemma":[0.9996175,0.00003000096,0.00007002653,0.00001934965,0.0001537793,0.0001093538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00212095,0.0001741051,0.5485826,0.00005904399,0.0001729169,0.0002875529,0.0005736329,0.0009602074,0.4361922,0.00009456589,0.000395678,0.01038654],"study_design_scores_gemma":[0.000005998465,0.0000715664,0.9931958,8.203781e-7,0.00001033362,0.00003031084,0.00007010539,0.0004273955,0.005920795,0.000008607462,0.0002541044,0.000004317401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99954,0.00003269271,0.00004520777,0.000006431257,6.270279e-7,0.000001944231,0.0002141716,0.000003548535,0.0001555553],"genre_scores_gemma":[0.9985331,0.00005125098,0.0001677982,0.00001424219,5.93128e-7,0.000003954117,0.0006689987,0.000004954714,0.0005551152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3996192,"threshold_uncertainty_score":0.8039453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285226069853036,"score_gpt":0.2010281131183151,"score_spread":0.1881758524197847,"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."}}