{"id":"W4415647141","doi":"10.3390/seeds4040049","title":"Omics for Improving Seed Quality and Yield","year":2025,"lang":"en","type":"article","venue":"Seeds","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Metabolomics; Genomics; Abiotic component; Omics; Abiotic stress; Adaptability; Agriculture; Resistance (ecology); Systems biology; Transcriptome","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":[0.0001272141,0.00004226428,0.00007272763,0.000005587129,0.00009396735,0.00001736721,0.00005470753,0.00005440952,0.0000199937],"category_scores_gemma":[0.00009163198,0.00001631628,0.00002749488,0.00008904272,0.00002386058,0.00002502712,0.0000273799,0.00003241325,0.000001834705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004954863,"about_ca_system_score_gemma":0.000004932768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219782,"about_ca_topic_score_gemma":0.00008367257,"domain_scores_codex":[0.9996799,0.00001559419,0.00008310099,0.0001092383,0.00002237418,0.00008982205],"domain_scores_gemma":[0.9996053,0.0002985775,0.00002501445,0.00001983257,0.00003083097,0.00002044181],"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":[0.00002394578,0.00001434826,0.004493048,0.00001696125,0.000004039395,4.359231e-8,0.00003327119,2.445659e-7,0.8614545,0.007000417,0.0001669698,0.1267923],"study_design_scores_gemma":[0.0001151838,0.00007772903,0.9692199,0.000004825396,0.000006071801,3.15067e-7,0.0003027674,0.0002075562,0.01007391,0.007018084,0.01289324,0.00008042114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946564,0.0000838932,0.00004106293,0.002824714,0.0001242925,0.0001061724,0.00001734544,0.00002819873,0.002117877],"genre_scores_gemma":[0.9966732,0.000005554617,0.00006850123,0.001260672,0.00006768465,0.000009409463,0.00001709663,1.674928e-7,0.001897775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9647269,"threshold_uncertainty_score":0.07227304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045917424172196,"score_gpt":0.2921707619371542,"score_spread":0.2517115876954323,"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."}}