{"id":"W4285731135","doi":"10.21203/rs.3.rs-1791145/v1","title":"Cloning, functional characterization and evaluating potential in metabolic engineering for lavender (+)-bornyl diphosphate synthase","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia","keywords":"ATP synthase; Cloning (programming); Lavender; Biochemistry; Farnesyl diphosphate synthase; Metabolic engineering; Characterization (materials science); Chemistry; Computational biology; Biotechnology; Biology; Enzyme; Botany; Computer science; Materials science; Programming language; Nanotechnology","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":[0.0002957537,0.0004191965,0.0003180253,0.0002703786,0.0002162719,0.0007338235,0.0003889461,0.0004261534,0.001038256],"category_scores_gemma":[0.0004719075,0.000139829,0.0004276298,0.0003709911,0.0002626775,0.0004324979,0.000453011,0.0007608068,0.0006273133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873969,"about_ca_system_score_gemma":0.0003532939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380488,"about_ca_topic_score_gemma":0.001126055,"domain_scores_codex":[0.9997904,0.00004038177,0.00002486018,0.0000409564,0.00006297508,0.00004049917],"domain_scores_gemma":[0.9997157,0.00009585871,0.00004370163,0.00005336282,0.00003873825,0.00005249524],"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":[0.00006255262,0.0000245999,0.0001466995,0.0000193239,0.000002800822,0.0000279755,0.00001503155,0.0001358786,0.997793,0.0001023972,0.000009156221,0.001660563],"study_design_scores_gemma":[0.000005152128,0.00006045407,0.0008433193,0.000002084173,0.00001095503,0.00007920896,0.00002764054,0.0005329068,0.9971671,0.00006067106,0.001206409,0.000004171374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890077,0.0004909031,0.008501935,0.0001428043,0.00001664236,0.00004173026,0.0006149166,0.00007894905,0.001104418],"genre_scores_gemma":[0.9826592,0.0004400626,0.009902911,0.00002261489,0.000008033468,0.00002573663,0.003058534,0.00006093421,0.003821905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001380488,"threshold_uncertainty_score":0.003536344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711826933982529,"score_gpt":0.3523015453529543,"score_spread":0.305183276013129,"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."}}