{"id":"W3204490405","doi":"10.1038/s41598-021-98626-0","title":"GWAS identifies an ortholog of the rice D11 gene as a candidate gene for grain size in an international collection of hexaploid wheat","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Université Laval","funders":"Universiteit Stellenbosch; Fondazione Cariplo; Agence Nationale de la Recherche; International Center for Agricultural Research in the Dry Areas; Agence Universitaire de la Francophonie; Université Laval; Agropolis Fondation","keywords":"Gene; Biology; Genome-wide association study; Grain yield; Genetics; Candidate gene; Computational biology; Agronomy; Genotype; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003281716,0.0003971296,0.0004489502,0.000758125,0.0004974825,0.0004153675,0.0002351475,0.0002056496,0.001380526],"category_scores_gemma":[0.0003132492,0.0001836534,0.0004968487,0.001342412,0.0002907784,0.00008305998,0.0004027994,0.0004017073,0.0001642589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059428,"about_ca_system_score_gemma":0.0005522628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081285,"about_ca_topic_score_gemma":0.02449389,"domain_scores_codex":[0.9997122,0.00002298217,0.00002251914,0.0001480642,0.00005325947,0.00004091354],"domain_scores_gemma":[0.9997433,0.00005922446,0.00006009581,0.00003379325,0.00003375557,0.0000699247],"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":[0.0009964552,0.0001633826,0.296386,0.0001415419,0.0004372031,0.001537826,0.0007250105,0.0004418358,0.6802974,0.0002886011,0.0007312912,0.01785345],"study_design_scores_gemma":[0.00002441309,0.00007225135,0.9888822,0.000006834644,0.0001782327,0.0005770148,0.0002103281,0.0006247814,0.007738007,0.00005017656,0.001623822,0.00001186183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975013,0.000083831,0.001023062,0.00002623729,0.000006828205,0.00001102346,0.0009325488,0.00002136854,0.0003938554],"genre_scores_gemma":[0.9918609,0.0001282687,0.002826322,0.00008229686,0.000006312468,0.0000184954,0.003908201,0.00003290291,0.001136227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081285,"threshold_uncertainty_score":0.02149981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863182591099895,"score_gpt":0.2570160080936718,"score_spread":0.2383841821826728,"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."}}