{"id":"W2054096625","doi":"10.2135/cropsci2003.0518","title":"Quantitative Genetic Analysis of the Physiological Processes underlying Maize Grain Yield","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hybrid; Biology; Mating design; Grain yield; Yield (engineering); Genetic variation; Inbred strain; Agronomy; Dry matter; Additive genetic effects; Genetic variability; Gene–environment interaction; Genetic gain; Heritability; Diallel cross; Genotype; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000445415,0.0003340311,0.0001729152,0.0007108428,0.0001802774,0.0002896818,0.0002271923,0.0001644231,0.0004545589],"category_scores_gemma":[0.0005889337,0.0001718107,0.0002474461,0.0005121239,0.0002751834,0.000161382,0.0002514086,0.0002546223,0.00006529817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000822433,"about_ca_system_score_gemma":0.0004212136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007341631,"about_ca_topic_score_gemma":0.009648581,"domain_scores_codex":[0.9997074,0.000068578,0.0000205614,0.00009011159,0.00008496372,0.00002835082],"domain_scores_gemma":[0.9995183,0.0001507445,0.0001762715,0.00004207243,0.0000544235,0.00005820648],"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":[0.000326483,0.00005447655,0.03380129,0.00005867008,0.000077342,0.0001030934,0.0001757349,0.001209501,0.9580485,0.0003128389,0.00002481075,0.00580732],"study_design_scores_gemma":[0.00001905912,0.000194353,0.9674869,0.000005979502,0.00006169827,0.0001242604,0.00009263484,0.004326844,0.02690652,0.0002420151,0.0005105383,0.00002909158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978278,0.00009625059,0.001578687,0.000011559,0.000001209713,0.00001233277,0.0002335102,0.00001622408,0.00022248],"genre_scores_gemma":[0.9967499,0.00009187481,0.00245537,0.000009855445,0.000002206513,0.00001795888,0.0003490625,0.00001214379,0.0003115542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007341631,"threshold_uncertainty_score":0.01459777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356884119869005,"score_gpt":0.2884165400781512,"score_spread":0.1527281280912506,"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."}}