{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008713005,0.0001116013,0.0001309075,0.00001929919,0.0003110304,0.0001048113,0.0004820804,0.00005748459,0.0001439685],"category_scores_gemma":[0.0001723242,0.00004267556,0.00005559124,0.0007644655,0.0004419656,0.0002029745,0.0001328598,0.0001625997,0.00002726969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005132064,"about_ca_system_score_gemma":0.00002175822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000568534,"about_ca_topic_score_gemma":0.001518981,"domain_scores_codex":[0.9984384,0.00007365748,0.0002102815,0.0003289762,0.0003431158,0.0006055763],"domain_scores_gemma":[0.9994771,0.0001338819,0.00004918439,0.0001061948,0.00003071226,0.0002028671],"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":[0.00001240224,0.0001372925,0.4291164,0.000008243644,0.000001303715,0.000001270097,0.0007189531,0.00001947538,0.4849906,0.0008044677,0.00001932099,0.08417029],"study_design_scores_gemma":[0.00005523665,0.00004547723,0.994005,0.000007069036,9.789341e-7,0.000004515131,0.0002335382,0.00002938541,0.002500383,0.001577802,0.00140598,0.0001346228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972116,0.0002789248,0.00002195053,0.0006254775,0.0002017412,0.0001137532,0.000006000191,0.00004157682,0.001498916],"genre_scores_gemma":[0.9993441,0.000005936989,0.0002021526,0.0002473206,0.0001154031,0.000005962797,0.000001124797,4.911356e-7,0.00007753503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5648886,"threshold_uncertainty_score":0.2392226,"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."}}