{"id":"W2285911513","doi":"10.1038/srep22181","title":"Dedicated Industrial Oilseed Crops as Metabolic Engineering Platforms for Sustainable Industrial Feedstock Production","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Saskatchewan Research Council (Canada)","funders":"National Institute of Food and Agriculture; FP7 Food, Agriculture and Fisheries, Biotechnology; National Research Council Canada; Sveriges Lantbruksuniversitet; Svenska Forskningsrådet Formas; VINNOVA; Stiftelsen för Strategisk Forskning; U.S. Department of Agriculture; Ministry of Agriculture - Saskatchewan; Vetenskapsrådet; National Science Foundation","keywords":"Raw material; Sustainable production; Production (economics); Industrial production; Biotechnology; Metabolic engineering; Agricultural engineering; Environmental science; Engineering; Biology; Economics","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":[0.0001861812,0.0004912938,0.0003007826,0.0003465472,0.0001893536,0.0004509593,0.0003239426,0.0002994439,0.0009464149],"category_scores_gemma":[0.000178766,0.0001945679,0.0002639926,0.0002992655,0.0001679915,0.000274372,0.0005515476,0.0005639223,0.0005435365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424256,"about_ca_system_score_gemma":0.0002840899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008745786,"about_ca_topic_score_gemma":0.001778785,"domain_scores_codex":[0.9998637,0.00001827878,0.00001481343,0.000031469,0.00004890157,0.00002289115],"domain_scores_gemma":[0.9998816,0.0000179776,0.00003189553,0.00002729871,0.00001708016,0.0000241199],"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":[0.00002130461,0.000007346936,0.000104345,0.00001981706,0.000002223014,0.00003061264,0.0000103708,0.00007682884,0.9986038,0.00009799923,0.00001386894,0.001011455],"study_design_scores_gemma":[0.00001086445,0.00007844354,0.001379064,0.000007827872,0.00001524623,0.0001348848,0.0000344952,0.0008868906,0.9928505,0.0001023324,0.004492886,0.000006455257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736139,0.0009541465,0.02019653,0.0001582532,0.00003435922,0.0001357726,0.001114814,0.0004224702,0.003369742],"genre_scores_gemma":[0.9647881,0.0009669281,0.02771073,0.0000484822,0.000006477425,0.0001049927,0.001771703,0.0001498962,0.004452706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009464149,"threshold_uncertainty_score":0.003935635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732438430163489,"score_gpt":0.2259159487027545,"score_spread":0.2085915644011196,"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."}}