{"id":"W4392985712","doi":"10.1111/pbi.14345","title":"Engineered poplar for bioproduction of the triterpene squalene","year":2024,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biological and Environmental Research; Great Lakes Bioenergy Research Center; College of Engineering, Michigan State University; Office of Science; Michigan State University; U.S. Department of Energy","keywords":"Squalene; Triterpene; Biology; Terpenoid; Isoprene; Terpene; Xylem; Metabolic engineering; Bioproduction; Botany; Biochemistry; Chemistry; Organic chemistry","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":[0.0001733541,0.0005201969,0.0002105509,0.000302223,0.0001422375,0.0004809755,0.000244411,0.0002842373,0.0006422915],"category_scores_gemma":[0.00008081352,0.0001739232,0.000318645,0.0002805652,0.000166986,0.0002775302,0.0003594093,0.0006274323,0.0003560411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848679,"about_ca_system_score_gemma":0.0001890951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003283112,"about_ca_topic_score_gemma":0.000687863,"domain_scores_codex":[0.9998778,0.00001414683,0.00001024784,0.00002726135,0.00003928125,0.00003112952],"domain_scores_gemma":[0.9998991,0.00001779845,0.0000359105,0.00001498048,0.00001361641,0.00001858835],"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":[0.00001274001,0.00001529926,0.00005214455,0.00001666015,0.000003134007,0.00003800452,0.00000910096,0.0001248976,0.9991197,0.0001008253,0.00001027644,0.0004972739],"study_design_scores_gemma":[0.000003854577,0.0001204361,0.0007940615,0.000003968063,0.00001497664,0.00009844788,0.00001991155,0.000792146,0.995475,0.00006218612,0.002609776,0.000005348183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749927,0.0008198606,0.02037488,0.00009084394,0.00004704425,0.00005934147,0.0007980602,0.0003027187,0.002514521],"genre_scores_gemma":[0.9811523,0.0008087607,0.0110682,0.00004686856,0.000007449814,0.00004581076,0.001200804,0.0001039128,0.005565771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006422915,"threshold_uncertainty_score":0.002148688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007507159117976172,"score_gpt":0.2103732409343236,"score_spread":0.2028660818163475,"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."}}