{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005861287,0.0003749289,0.0004672873,0.0008055231,0.0002873646,0.0004581469,0.0004375781,0.0003463848,0.001110892],"category_scores_gemma":[0.0005428984,0.0002016488,0.000437114,0.0006378538,0.0001726165,0.0001525685,0.0005918181,0.0006109896,0.0002677939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261344,"about_ca_system_score_gemma":0.0003015671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009164932,"about_ca_topic_score_gemma":0.00199637,"domain_scores_codex":[0.9996953,0.00005715015,0.00004764648,0.00008016353,0.00006122663,0.00005848385],"domain_scores_gemma":[0.9995764,0.0001022835,0.0001168333,0.00006570489,0.00005687131,0.0000820163],"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":[0.0001319191,0.00007557803,0.001644662,0.00003863754,0.00003188055,0.0001505943,0.000089087,0.0001324374,0.993611,0.00009870112,0.0000336965,0.003961727],"study_design_scores_gemma":[0.0002561827,0.002905223,0.1946409,0.00003768636,0.0005051385,0.002184161,0.0006122328,0.004573073,0.7772022,0.0002751217,0.01671202,0.0000960842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915839,0.0001191013,0.006689356,0.00004628087,0.00001421434,0.0001909568,0.0005231958,0.000120215,0.0007126889],"genre_scores_gemma":[0.9766214,0.0002342918,0.01766187,0.0001314017,0.00001582538,0.0001474999,0.00265555,0.0001635093,0.002368649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001110892,"threshold_uncertainty_score":0.00371629,"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."}}