{"id":"W4413486613","doi":"10.3389/fgene.2025.1626083","title":"Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm","year":2025,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Oak Ridge National Laboratory; Biological and Environmental Research; Center for Bioenergy Innovation; Office of Science; UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Germplasm; Best linear unbiased prediction; Selection (genetic algorithm); Drought tolerance; Biology; Adaptation (eye); Index (typography); Agronomy; Biotechnology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221935,0.0001516034,0.0001497539,0.00007877847,0.0002119664,0.00005758973,0.0001687698,0.0001345101,0.00001293318],"category_scores_gemma":[0.00003428384,0.00007890213,0.00007422209,0.0006372935,0.00003850918,0.00003704291,0.00002942393,0.0001227543,0.00000195174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171315,"about_ca_system_score_gemma":0.0000226416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008125686,"about_ca_topic_score_gemma":0.0002027986,"domain_scores_codex":[0.9988294,0.00007489292,0.0002218176,0.0004363612,0.0001843022,0.0002532424],"domain_scores_gemma":[0.9997093,0.00002907952,0.00007268667,0.00007880029,0.00006631613,0.0000438024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009017332,0.001232806,0.02203228,0.0001162083,0.0001004506,0.000002189651,0.000223104,0.2877334,0.007413973,0.004504427,0.1043183,0.5714211],"study_design_scores_gemma":[0.000905646,0.0005288295,0.02603019,0.00002862428,0.00003893297,8.237885e-7,0.001231408,0.6716053,0.005591898,0.003389844,0.2903039,0.0003445939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3186491,0.0004876327,0.663386,0.004599714,0.003141972,0.001990044,0.00002170547,0.0001806848,0.007543184],"genre_scores_gemma":[0.9741822,0.00008107138,0.02039581,0.001040864,0.0001724339,0.0001927181,0.0000865432,0.000002280781,0.003846113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6555331,"threshold_uncertainty_score":0.3217536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201246603507943,"score_gpt":0.2223435435627255,"score_spread":0.210331077527646,"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."}}