{"id":"W2978632296","doi":"10.1139/gen-2019-0116","title":"Quantitative trait loci for seeding root traits and the relationships between root and agronomic traits in common wheat","year":2019,"lang":"en","type":"article","venue":"Genome","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Quantitative trait locus; Biology; Trait; Common wheat; Inbred strain; Agronomy; Genetics; Gene; Chromosome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003609278,0.0003132919,0.0001636562,0.0008567085,0.0001049339,0.0002277969,0.0002060939,0.0001372856,0.0004392199],"category_scores_gemma":[0.0003902505,0.0001802655,0.0002613034,0.0005098561,0.0002494807,0.0001224936,0.0001682514,0.000237614,0.00006860287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112959,"about_ca_system_score_gemma":0.0001885152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817501,"about_ca_topic_score_gemma":0.003131061,"domain_scores_codex":[0.9997787,0.00004077501,0.00001536386,0.00007667271,0.00005793784,0.00003061218],"domain_scores_gemma":[0.9996653,0.0001090571,0.00012635,0.00002484176,0.00002707323,0.00004749145],"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":[0.0003944985,0.00008681913,0.03132497,0.00005841004,0.00008018752,0.0002645942,0.0001425007,0.0007113495,0.9538439,0.0006187574,0.00004647692,0.01242768],"study_design_scores_gemma":[0.0001170331,0.0005476533,0.9298834,0.00001869236,0.0001666013,0.001156994,0.0001019039,0.007956781,0.05755411,0.001066362,0.001378408,0.00005215386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996168,0.0001583071,0.003169414,0.00001606901,0.000002002168,0.00001020575,0.0002745156,0.00002378499,0.0001776083],"genre_scores_gemma":[0.9965127,0.00007914505,0.00247906,0.000009071355,0.000003174872,0.00001072244,0.0004712654,0.000008788051,0.0004260518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001817501,"threshold_uncertainty_score":0.003613889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693036002291646,"score_gpt":0.2381233804551501,"score_spread":0.1911930204322336,"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."}}