{"id":"W1976563131","doi":"10.2135/cropsci2011.10.0545","title":"Genetic Architecture Underlying Kernel Quality in Food‐Grade Maize","year":2012,"lang":"en","type":"article","venue":"Crop Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Agricultural Adaptation Council; Grain Farmers of Ontario","keywords":"Kernel (algebra); Test weight; Endosperm; Biology; Inbred strain; Hybrid; Mating design; Mathematics; Horticulture; Statistics; Botany; Genetics; Cultivar; Diallel cross; Gene","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":[0.0003328035,0.0003045834,0.0003318444,0.001265393,0.0001995729,0.0004369683,0.0003583644,0.0003079958,0.001122562],"category_scores_gemma":[0.0004624437,0.0002707302,0.0002890801,0.0005830256,0.0003800993,0.0001374332,0.0004980473,0.0003386206,0.0001471774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000472587,"about_ca_system_score_gemma":0.0002363991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972017,"about_ca_topic_score_gemma":0.003397814,"domain_scores_codex":[0.9995516,0.00007034178,0.00004444425,0.0001619761,0.000113772,0.00005782864],"domain_scores_gemma":[0.9990566,0.0001969122,0.0003896536,0.00007293822,0.0001278314,0.0001560776],"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":[0.0006033899,0.00009431046,0.03256296,0.00003244161,0.0001057852,0.0001474048,0.0001798625,0.0002642814,0.9637552,0.0002067038,0.00002924975,0.002018379],"study_design_scores_gemma":[0.0000299505,0.0002112318,0.9783573,0.000007134053,0.00006873677,0.0002121116,0.00009575089,0.001227371,0.01935452,0.0001280451,0.0002850022,0.00002284949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991393,0.00005644517,0.0004827576,0.000006469949,9.124112e-7,0.000007810667,0.0001287105,0.00001174528,0.0001657796],"genre_scores_gemma":[0.9990848,0.00003147851,0.000359014,0.000009677815,0.000001181363,0.000008388967,0.0002141266,0.00001577983,0.0002755503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972017,"threshold_uncertainty_score":0.005909443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09739471896039072,"score_gpt":0.3112376004364657,"score_spread":0.213842881476075,"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."}}