{"id":"W4411887185","doi":"10.1038/s41467-025-60501-1","title":"Unraveling the regulatory network of barley grain metabolism through the integrative analysis of multiomics and mQTL","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Agriculture Research System of China","keywords":"Computational biology; Genetics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005043083,0.000410662,0.0004535487,0.0008769166,0.0002933465,0.0005634943,0.0002744819,0.0001795634,0.0006306743],"category_scores_gemma":[0.0003016102,0.0002306655,0.0005748385,0.0009959532,0.0002350686,0.0004199012,0.0005950748,0.0004864571,0.0001735508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000525651,"about_ca_system_score_gemma":0.0004215811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365937,"about_ca_topic_score_gemma":0.006130545,"domain_scores_codex":[0.9997497,0.00002891496,0.00001500521,0.0001248254,0.00004778915,0.00003369918],"domain_scores_gemma":[0.9997939,0.00004946342,0.00007534132,0.00003164231,0.00002806841,0.00002153721],"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":[0.0001970777,0.00003503602,0.02264418,0.0001541973,0.0001426198,0.000141679,0.0001808113,0.002003125,0.9474345,0.0008239915,0.0001398365,0.02610288],"study_design_scores_gemma":[0.00006036726,0.0003285428,0.6397678,0.00009141274,0.0005239227,0.0005127187,0.0005568843,0.09535892,0.2382078,0.007695311,0.01678477,0.0001116022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912875,0.002478627,0.0772863,0.0002594712,0.00002592643,0.00004343756,0.004987913,0.0004117348,0.001631608],"genre_scores_gemma":[0.9416974,0.00103788,0.05044801,0.0001312016,0.00002208266,0.00006152228,0.005221667,0.0001749514,0.001205163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003365937,"threshold_uncertainty_score":0.006692708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006646545917907271,"score_gpt":0.2727287428174859,"score_spread":0.2660821968995786,"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."}}