{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222303,0.0004759804,0.0004225496,0.0003958321,0.0002670364,0.0007806345,0.0004749271,0.000684057,0.002489873],"category_scores_gemma":[0.0002407567,0.0002927699,0.0006054014,0.0002271226,0.0003374429,0.0003776059,0.000493696,0.001001991,0.0008402094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005122027,"about_ca_system_score_gemma":0.0002526091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365728,"about_ca_topic_score_gemma":0.001400428,"domain_scores_codex":[0.9997215,0.00001696169,0.0000403255,0.00009429969,0.0000794893,0.00004745473],"domain_scores_gemma":[0.9998053,0.00002910914,0.00006712617,0.00002046904,0.00002395238,0.00005410184],"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":[0.00008256817,0.00001673277,0.0002099155,0.00008104231,0.000009609783,0.00008527167,0.00006182867,0.00006641597,0.9980372,0.0002439562,0.0001283991,0.0009770838],"study_design_scores_gemma":[0.00007177863,0.0002270475,0.006444623,0.00005914358,0.0001148856,0.0003855013,0.0001074036,0.003572386,0.9705576,0.0001797865,0.01824591,0.00003389024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615168,0.002521508,0.01895609,0.0004969425,0.0003146036,0.0001921589,0.006928639,0.001270769,0.007802514],"genre_scores_gemma":[0.9734605,0.001091618,0.007891257,0.0003089776,0.00002936711,0.0001837201,0.004104024,0.0002909055,0.01263971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002489873,"threshold_uncertainty_score":0.008329451,"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."}}