{"id":"W2099512907","doi":"10.4141/cjps10117","title":"Review: Breeding wheat for enhanced micronutrients","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National High-tech Research and Development Program; National Natural Science Foundation of China","keywords":"Biofortification; Micronutrient; Biology; Introgression; Agronomy; Quantitative trait locus; Plant breeding; Cultivar; Crop; Positional cloning; Population; Plant genetics; Locus (genetics); Biotechnology; Gene; Genetics; Genome; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006568555,0.00008100475,0.0001488635,0.0000692123,0.0003578032,0.00005062009,0.0004790635,0.00002799871,0.0001619229],"category_scores_gemma":[0.0001779648,0.00003298,0.00007931991,0.0003689047,0.0001173723,0.0003518453,0.00001049934,0.00009239952,0.00001369437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008154282,"about_ca_system_score_gemma":0.0001757767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254932,"about_ca_topic_score_gemma":0.005357837,"domain_scores_codex":[0.9991354,0.00001419419,0.0002331076,0.0001383683,0.0001168146,0.0003620728],"domain_scores_gemma":[0.9990177,0.00008709265,0.0001737346,0.00003314025,0.0002239608,0.000464406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002622251,0.00001824998,0.0007735922,0.00003137954,0.00000563066,0.00001917743,0.0001572372,2.765446e-7,0.9586228,0.0001288094,0.03228027,0.007936346],"study_design_scores_gemma":[0.000364687,0.00133079,0.0087261,0.003537297,0.0000543124,0.001303205,0.0003597897,0.00002622226,0.3268943,0.0004102464,0.6565789,0.0004141805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932695,0.003047714,0.00007165597,0.000350602,0.001140781,0.000259777,0.0004185895,0.00000565963,0.001435708],"genre_scores_gemma":[0.9979776,0.000737857,0.0003313554,0.0007151574,0.0001462542,0.000003637914,0.00001384775,5.751263e-7,0.00007370231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6317285,"threshold_uncertainty_score":0.2989799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707192894019046,"score_gpt":0.2222543914839842,"score_spread":0.1851824625437938,"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."}}