{"id":"W2942870340","doi":"10.2134/agronj2018.10.0635","title":"Soybean Seed Yield Response to Plant Density by Yield Environment in North America","year":2019,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Plant density; Agronomy; Seeding; Biology; Sowing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159381,0.0001005704,0.0001214547,0.00001513215,0.00009845597,0.00005937434,0.000160734,0.00004436383,0.0008851553],"category_scores_gemma":[0.00003001168,0.00004353007,0.0000514333,0.0001195204,0.00001375222,0.0000614173,0.00004956297,0.0001618792,0.0002450171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005719898,"about_ca_system_score_gemma":0.000008220018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194927,"about_ca_topic_score_gemma":0.0002506949,"domain_scores_codex":[0.9991715,0.00006191784,0.0001953808,0.0001810606,0.0001609938,0.0002291797],"domain_scores_gemma":[0.9995545,0.0001610347,0.00008304409,0.00004773575,0.00001283497,0.0001409024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003670984,0.00009909898,0.5783473,8.048194e-7,0.00001252503,0.00001012425,0.0004124712,0.0001335561,0.3889563,0.00000217022,0.00536119,0.02629738],"study_design_scores_gemma":[0.0001097184,0.0003258924,0.956478,0.00001407255,0.000002872085,0.00001158997,0.0006242539,0.00001932527,0.002680076,0.00002033522,0.03957426,0.0001396129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972822,0.00005177168,0.00002519435,0.002222539,0.00006607086,0.0001512985,0.00001586479,0.000006962101,0.0001780743],"genre_scores_gemma":[0.9986776,0.00003302395,0.0001095271,0.0006455572,0.00008727119,0.00000382804,0.00002007723,8.43832e-7,0.0004223018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862762,"threshold_uncertainty_score":0.969183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287364970236315,"score_gpt":0.1790987466415055,"score_spread":0.1662250969391423,"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."}}