{"id":"W4319793595","doi":"10.3389/fpls.2022.1083374","title":"Genetic analysis of grapevine root system architecture and loci associated gene networks","year":2023,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; South Dakota Agricultural Experiment Station; U.S. Department of Agriculture","keywords":"Quantitative trait locus; Biology; Genetic architecture; Root system; Population; Genetics; Plant genetics; Rootstock; Allele; Botany; Horticulture; Gene; Regulation of gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006500317,0.0001241731,0.0003320317,0.0001688022,0.0002243114,0.00006770572,0.0003987709,0.0000745818,0.000009311526],"category_scores_gemma":[0.0001351809,0.00004394875,0.00007831761,0.007274757,0.0003351675,0.00009226706,0.0001371928,0.0001381733,0.000001966074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006181488,"about_ca_system_score_gemma":0.00001139903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002864268,"about_ca_topic_score_gemma":0.001152775,"domain_scores_codex":[0.9982359,0.00007894327,0.0002653284,0.0003888314,0.000513171,0.0005177908],"domain_scores_gemma":[0.999519,0.00009262563,0.00008763151,0.00005899184,0.00008505012,0.0001566893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004787545,0.00005294504,0.80485,0.00002582645,0.0001878265,0.00007274526,0.0003409579,0.008370725,0.1348727,0.00009503005,0.001956411,0.049127],"study_design_scores_gemma":[0.00006194131,0.00007142855,0.9339728,0.00002663136,0.0000535165,0.000004406297,0.0004439458,0.06454434,0.0005240611,0.00002879299,0.0001511974,0.0001168784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989018,0.0002665775,0.0000416072,0.0002582,0.000127921,0.0001586607,0.0001306484,0.00005454128,0.00006008513],"genre_scores_gemma":[0.99941,0.0001355173,0.000145221,0.00001500829,0.00004030672,0.000009570371,0.0001351813,5.369755e-7,0.0001086162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343486,"threshold_uncertainty_score":0.349528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324807580857542,"score_gpt":0.2234724542360265,"score_spread":0.2102243784274511,"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."}}