{"id":"W2782530216","doi":"10.2135/cropsci2016.06.0547","title":"Maize Yield Potential and Density Tolerance","year":2018,"lang":"en","type":"article","venue":"Crop Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Biology; Germplasm; Hybrid; Agronomy; Yield (engineering); Dry matter; Genetic variation; Genetics; Gene; Materials 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":[0.0003029587,0.00006918662,0.00007806916,0.000006325517,0.0006926891,0.0001544831,0.0002695865,0.00002831493,0.0002939292],"category_scores_gemma":[0.000126556,0.0000254715,0.00002398295,0.0003210345,0.001240409,0.0001891704,0.0001467018,0.00005942639,0.00004655979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009680955,"about_ca_system_score_gemma":0.00001316013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002737286,"about_ca_topic_score_gemma":0.0004751739,"domain_scores_codex":[0.9990996,0.00001084653,0.00008920926,0.0003352948,0.0002051617,0.0002598497],"domain_scores_gemma":[0.9996346,0.00003825486,0.00002498322,0.00006676862,0.000114417,0.0001209745],"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":[0.00002048739,0.00002047274,0.02055509,0.000001428707,5.625164e-7,0.000003329371,0.0000866418,2.043198e-7,0.9132954,0.0002244422,0.0001710145,0.06562089],"study_design_scores_gemma":[0.00003200721,0.0001074494,0.9565862,0.000006255056,0.000001835583,0.00001236641,0.00006265203,0.0002695033,0.04026243,0.0005948564,0.001967503,0.00009689058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964531,0.00003729349,0.00001643909,0.0005976544,0.0002823477,0.00005442105,0.000003015365,0.00003950073,0.002516226],"genre_scores_gemma":[0.9990139,0.00000634545,0.00007006889,0.0003467786,0.000297091,0.000001031617,4.024674e-7,1.97936e-7,0.0002641992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9360312,"threshold_uncertainty_score":0.5327675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802028113373906,"score_gpt":0.2213328855194842,"score_spread":0.2033126043857451,"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."}}