{"id":"W81566890","doi":"10.1007/978-1-4614-7795-2_7","title":"Genetic Engineering of Lipid Biosynthesis in Seeds","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Crucifer; Brassicaceae; Biology; Biotechnology; Genetically modified crops; Biosynthesis; Botany; Biochemistry; Transgene; 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":[0.0001130429,0.000710863,0.0003995249,0.0004630713,0.0002111893,0.000690605,0.0006318646,0.000360451,0.002868735],"category_scores_gemma":[0.00009562752,0.0003446591,0.0004202167,0.0006392938,0.0003852454,0.0004965069,0.0003881496,0.00119454,0.003261628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000612308,"about_ca_system_score_gemma":0.0003233101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090811,"about_ca_topic_score_gemma":0.00109548,"domain_scores_codex":[0.9999242,0.000005994905,0.000004351228,0.00001427815,0.00004343822,0.000007716169],"domain_scores_gemma":[0.9999784,0.000007552447,0.00000304923,0.000003156608,0.000004050236,0.00000367847],"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":[0.00004737908,0.0000454559,0.00005736834,0.0004199586,0.00001144027,0.0002064119,0.00004749204,0.001313664,0.7955599,0.02421641,0.004877502,0.173197],"study_design_scores_gemma":[0.00001879847,0.00009243748,0.0005668739,0.0001273743,0.00003249153,0.0010974,0.00002778538,0.002222508,0.5293296,0.01559214,0.4508646,0.00002800293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0625329,0.1994481,0.4252428,0.0037809,0.002904958,0.0002482481,0.001583621,0.003175319,0.3010831],"genre_scores_gemma":[0.1792521,0.2368531,0.2301777,0.001107121,0.0003848877,0.0002513567,0.002350915,0.001275868,0.3483469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002868735,"threshold_uncertainty_score":0.009596884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006412293572360827,"score_gpt":0.1792257902565129,"score_spread":0.172813496684152,"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."}}