{"id":"W4402824767","doi":"10.1111/pbi.14467","title":"Metabolic engineering‐induced transcriptome reprogramming of lipid biosynthesis enhances oil composition in oat","year":2024,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Research Service; Commonwealth Scientific and Industrial Research Organisation; Génome Québec; U.S. Department of Agriculture","keywords":"Biology; Avena; Oleosin; Transcriptome; Transgene; Oleic acid; Gene; Arabidopsis; Metabolic engineering; Genetically modified crops; Metabolic pathway; Composition (language); Biochemistry; Food science; Biotechnology; Botany; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009542565,0.0002977222,0.00020509,0.0001699443,0.0001181303,0.0003035855,0.0001282699,0.0001478767,0.0006637173],"category_scores_gemma":[0.00008125398,0.0001267761,0.0003587029,0.000202151,0.0001516246,0.0001866725,0.0002435749,0.0003827341,0.0002217479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723285,"about_ca_system_score_gemma":0.0001987849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008355862,"about_ca_topic_score_gemma":0.00127597,"domain_scores_codex":[0.9999233,0.000005794171,0.000008942773,0.00002609381,0.00001770242,0.00001808828],"domain_scores_gemma":[0.9999475,0.000007386954,0.00001708426,0.000005797699,0.000006670281,0.00001548466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001409405,0.000002695793,0.00006525648,0.000008878932,0.000001256124,0.00001424075,0.000006018073,0.00002069195,0.9995643,0.00002297614,0.000004142545,0.0002753917],"study_design_scores_gemma":[0.00001649536,0.0001954893,0.01966155,0.00001127827,0.00003675899,0.0001674884,0.00007864806,0.00173443,0.9740709,0.0001029835,0.003911755,0.00001217583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912946,0.0005490407,0.005511647,0.00006262912,0.00003025862,0.00003316799,0.0008465113,0.000118241,0.001554103],"genre_scores_gemma":[0.9897886,0.0005407167,0.003688766,0.00006086875,0.000009614639,0.00003895819,0.00140835,0.0000819467,0.004382198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008355862,"threshold_uncertainty_score":0.002220392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008595153068184355,"score_gpt":0.2178356497315036,"score_spread":0.2092404966633193,"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."}}