{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268793,0.001059431,0.001172033,0.002072778,0.0003903052,0.00200437,0.0005320355,0.0008994078,0.004351628],"category_scores_gemma":[0.001106659,0.0002791167,0.001299828,0.00226277,0.0003055117,0.001841277,0.001080787,0.001083077,0.001318998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008127375,"about_ca_system_score_gemma":0.001129396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528609,"about_ca_topic_score_gemma":0.002523196,"domain_scores_codex":[0.999549,0.00009353658,0.00004583711,0.0001101983,0.0001564819,0.00004496009],"domain_scores_gemma":[0.9995419,0.0001272852,0.00009557106,0.00005601223,0.0001470891,0.00003220619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008753981,0.0001420171,0.01439319,0.01327744,0.001367747,0.0006842192,0.0003758775,0.00475541,0.4773165,0.02020461,0.01526424,0.4513433],"study_design_scores_gemma":[0.00009264411,0.0005949872,0.06442487,0.002959051,0.002376449,0.001435842,0.0008439739,0.01224076,0.1988672,0.04829777,0.6675999,0.0002664789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1586138,0.4679268,0.2624797,0.01186641,0.002302686,0.0006029889,0.04721226,0.003324531,0.04567083],"genre_scores_gemma":[0.4086251,0.2825789,0.2510175,0.004879574,0.001113795,0.0006116946,0.0350335,0.0006912117,0.01544873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004351628,"threshold_uncertainty_score":0.0145576,"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."}}