{"id":"W2057821918","doi":"10.2135/cropsci2010.06.0335","title":"Allele Mining of Exotic Maize Germplasm to Enhance Macular Carotenoids","year":2011,"lang":"en","type":"article","venue":"Crop Science","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":42,"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","keywords":"Zeaxanthin; Lutein; Germplasm; Carotenoid; Biology; Allele; Haplotype; Genetics; Macular degeneration; Botany; Gene; Ophthalmology","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":[0.0003271841,0.00009636192,0.0002039157,0.000141595,0.0001264199,0.0000116861,0.0002589646,0.00003339657,0.000215581],"category_scores_gemma":[0.0002613795,0.00008155683,0.00004530442,0.000616419,0.0007543484,0.0001972107,0.0001100702,0.00008628095,0.00005618376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003218602,"about_ca_system_score_gemma":0.0001568428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006918082,"about_ca_topic_score_gemma":0.0000112405,"domain_scores_codex":[0.9988411,0.00001626515,0.0001562895,0.0003242786,0.0003620654,0.0003000172],"domain_scores_gemma":[0.9992411,0.0000237713,0.00006750635,0.0003114459,0.0001770052,0.0001792397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006699994,0.00009690223,0.008027839,0.00004488378,0.000008607693,0.00007713118,0.002705965,0.00000254378,0.9840725,0.0006387852,0.0001066013,0.004151253],"study_design_scores_gemma":[0.0001442206,0.0002467743,0.2160387,0.0001035871,0.00001819176,0.00005303056,0.0003939832,0.00006528613,0.7824393,0.00006288608,0.0003280428,0.0001059559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808227,0.00004513041,0.003755848,0.00009642876,0.00009068738,0.0001727245,0.000003098156,0.00002260073,0.01499078],"genre_scores_gemma":[0.9860775,0.000006361901,0.01259876,0.0001483492,0.0000282016,0.000005395857,3.889807e-7,0.000007058808,0.00112798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080109,"threshold_uncertainty_score":0.3325791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05497491707039463,"score_gpt":0.3150934974553394,"score_spread":0.2601185803849448,"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."}}