{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009004301,0.0001606463,0.00009805451,0.0003190585,0.0001072427,0.0002480245,0.0001383604,0.0001327921,0.001043199],"category_scores_gemma":[0.0001878993,0.00007382688,0.00008244195,0.0002073913,0.0001455845,0.0001847148,0.0003735034,0.0001604821,0.0001356819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651229,"about_ca_system_score_gemma":0.00009720556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007658081,"about_ca_topic_score_gemma":0.0007896124,"domain_scores_codex":[0.999944,0.000008210528,0.000005148131,0.00001601633,0.00001658716,0.00001010195],"domain_scores_gemma":[0.9998446,0.00002239789,0.00006644386,0.00001188529,0.00001667792,0.00003803024],"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":[0.000340594,0.00004195929,0.03876743,0.00004950523,0.00003591974,0.0001496841,0.0001123043,0.0004589738,0.948917,0.001366575,0.00008159822,0.009678374],"study_design_scores_gemma":[0.00001853396,0.0003623001,0.9165041,0.000007821362,0.00003916346,0.000565574,0.0001213638,0.001570677,0.07717834,0.001314537,0.002295665,0.00002188411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981418,0.0002313271,0.0004902751,0.00002434313,0.000001238289,0.00000280117,0.0001175395,0.000008451455,0.0009823778],"genre_scores_gemma":[0.9992871,0.00006131749,0.00011338,0.000006598281,0.000001084266,0.000001933309,0.0001324151,0.0000024475,0.0003938369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001043199,"threshold_uncertainty_score":0.003489852,"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."}}