{"id":"W3200216559","doi":"10.3390/plants10101989","title":"Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects","year":2021,"lang":"en","type":"review","venue":"Plants","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Leibniz-Gemeinschaft","keywords":"Phenomics; Omics; Biology; Metabolomics; Biotechnology; Proteomics; Abiotic stress; Abiotic component; Genomics; Computational biology; Bioinformatics; Genome; Ecology; Genetics; Gene","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":[0.0007209572,0.0008544119,0.001090568,0.00252329,0.0002608198,0.001040496,0.0007323826,0.0009892083,0.003663037],"category_scores_gemma":[0.0006465458,0.0002575066,0.0005175464,0.00262697,0.0003354728,0.001592508,0.0008074216,0.00150816,0.002204181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487354,"about_ca_system_score_gemma":0.001231464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025264,"about_ca_topic_score_gemma":0.001669916,"domain_scores_codex":[0.9998202,0.0000282866,0.00002136321,0.00003507339,0.00007514281,0.00002003683],"domain_scores_gemma":[0.9996166,0.0001845279,0.00004408292,0.0000143148,0.0001037131,0.00003672946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000470367,0.00004678131,0.0001412304,0.01618143,0.00009257295,0.0001374676,0.0000609771,0.0003877144,0.004655786,0.005784053,0.01936052,0.9531046],"study_design_scores_gemma":[0.000007276418,0.00005643326,0.000747114,0.002617084,0.00009277062,0.0004791683,0.00005518237,0.0001017634,0.0008082366,0.002526642,0.9924885,0.00001983068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001941636,0.9968536,0.0005522796,0.000423927,0.0002469406,0.000008533076,0.00005974835,0.00001909064,0.001641651],"genre_scores_gemma":[0.0005467473,0.9976948,0.0006452468,0.0002321123,0.0001122649,0.000008894636,0.00008100184,0.000003450531,0.0006753472],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003663037,"threshold_uncertainty_score":0.01225406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351721897076704,"score_gpt":0.2700308627411046,"score_spread":0.2365136437703376,"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."}}