{"id":"W3120363377","doi":"10.3389/fpls.2020.590740","title":"Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean","year":2020,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Government of Canada; Canadian Field Crop Research Alliance; Genome Canada; Syngenta Canada; Saskatchewan Pulse Growers; Western Grains Research Foundation; Grain Farmers of Ontario; Université Laval","keywords":"Biology; Genetic architecture; Quantitative trait locus; Genome-wide association study; Genetics; Single-nucleotide polymorphism; Candidate gene; Genotyping; Locus (genetics); Genome; Genetic association; Copy-number variation; Association mapping; Structural variation; Gene; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498471,0.0001091627,0.0003502275,0.00009866228,0.000120166,0.00003925584,0.000620731,0.00005830908,0.000006214769],"category_scores_gemma":[0.0001938131,0.00004184878,0.00008735948,0.003305079,0.0001048346,0.00008009465,0.00007219616,0.0001506026,0.000002649787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000842681,"about_ca_system_score_gemma":0.00002002612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181648,"about_ca_topic_score_gemma":0.0003127722,"domain_scores_codex":[0.9983756,0.0001480281,0.0003268512,0.0003381817,0.0004762337,0.000335088],"domain_scores_gemma":[0.9993442,0.0002307436,0.0002139778,0.00006775776,0.00005217386,0.00009119666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002542398,0.00001671579,0.9764478,0.000009183714,0.0000253311,0.000009049804,0.0005166377,0.001011454,0.01885669,0.0000247652,0.0007181895,0.002338793],"study_design_scores_gemma":[0.00009369215,0.0000288688,0.9868062,0.00001710592,0.00004314808,0.000001198657,0.0009176658,0.001501322,0.0007494156,0.00005206691,0.009692097,0.00009718106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963095,0.0007898923,0.0001185987,0.001891975,0.0001802011,0.0002274058,0.000304842,0.00001578233,0.0001618032],"genre_scores_gemma":[0.9988974,0.000119722,0.0004531274,0.0003935125,0.00006507657,0.000007059057,0.00004134831,4.78042e-7,0.00002227683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810727,"threshold_uncertainty_score":0.1706544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281341914718826,"score_gpt":0.1898930106009747,"score_spread":0.1770795914537864,"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."}}