{"id":"W4283155879","doi":"10.1111/pbi.13876","title":"Enhancing the accumulation of eicosapentaenoic acid and docosahexaenoic acid in transgenic Camelina through the <scp>CRISPR‐Cas9</scp> inactivation of the competing <scp><i>FAE1</i></scp> pathway","year":2022,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Docosahexaenoic acid; Camelina sativa; Eicosapentaenoic acid; Camelina; Biology; Polyunsaturated fatty acid; Food science; Fish oil; alpha-Linolenic acid; Linoleic acid; Linolenic acid; Fatty acid; Genetically modified crops; Oxylipin; Biotechnology; Crop; Transgene; Botany; Biochemistry; Fish <Actinopterygii>; Agronomy; Gene; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171873,0.0002270382,0.0003147566,0.0001270823,0.0006333935,0.00002696348,0.0007539236,0.0002854589,0.000005407538],"category_scores_gemma":[0.0005659227,0.0001320372,0.0001464583,0.000421469,0.000307208,0.00002166698,0.0003815572,0.0008751582,6.323789e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000361869,"about_ca_system_score_gemma":0.0001531691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915793,"about_ca_topic_score_gemma":0.0001553442,"domain_scores_codex":[0.9978822,0.0004661074,0.0006606927,0.0003030244,0.0003150056,0.0003729825],"domain_scores_gemma":[0.9985008,0.0002772009,0.0006938344,0.0004364853,0.00006091553,0.00003075635],"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":[0.0000181421,0.00007909942,0.002258797,0.00002399719,0.00008017647,0.00000243829,0.001367282,0.00012125,0.9923083,0.0002201983,0.00006261285,0.00345767],"study_design_scores_gemma":[0.0005359331,0.0001409111,0.004900577,0.00004023909,0.00005738487,0.0003877905,0.005851172,0.00006967862,0.9574329,0.0001837274,0.03035707,0.00004256087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925749,0.004942871,0.0008593994,0.0007998862,0.0003122884,0.0003567126,0.00007576906,0.0000128123,0.00006537152],"genre_scores_gemma":[0.9978851,0.001384353,0.0002911561,0.0001971941,0.0001466822,0.00002359787,0.00002993286,0.00002042221,0.00002154985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487539,"threshold_uncertainty_score":0.5384322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701658234627213,"score_gpt":0.2404503390709853,"score_spread":0.2234337567247131,"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."}}