{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002958415,0.0001300912,0.0001331509,0.00008576739,0.00009965632,0.00002232849,0.000312768,0.0004101698,0.000009706852],"category_scores_gemma":[0.0001727564,0.00008578745,0.0001634637,0.0001428327,0.0001088626,0.000003889099,0.00005957363,0.0002260662,0.000001991704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118029,"about_ca_system_score_gemma":0.00006781788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001133591,"about_ca_topic_score_gemma":0.000002148526,"domain_scores_codex":[0.9992194,0.00002162863,0.0002372426,0.0002331694,0.00008706885,0.0002014523],"domain_scores_gemma":[0.9995813,0.00002303527,0.00008441281,0.0002388856,0.00003977826,0.00003261206],"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":[0.00009810105,0.00002970509,0.00003350165,0.00006330122,0.0001147247,0.000005871798,0.000006428721,0.000008195444,0.9899412,0.0001981385,0.004724003,0.00477682],"study_design_scores_gemma":[0.0001560032,0.0001195226,0.00004018283,0.00007071973,0.00004375272,0.002113179,0.00002240175,0.000105462,0.8731778,0.0001321077,0.1239198,0.00009907959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837328,0.007125151,0.002387176,0.004892573,0.000960966,0.0001667734,0.0006542064,0.0000391092,0.00004127454],"genre_scores_gemma":[0.9971145,0.001169753,0.0007518101,0.00004218639,0.00045103,0.000007185223,0.00008563775,0.00001309185,0.0003647924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191958,"threshold_uncertainty_score":0.3498311,"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."}}