{"id":"W2019065272","doi":"10.1016/j.tibtech.2011.10.001","title":"Synthetic biosystems for the production of high-value plant metabolites","year":2011,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Toronto; Brock University; Plant Biotechnology Institute; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Calgary","funders":"Ontario Ministry of Research and Innovation; Genome Alberta; Genome British Columbia; Genome Prairie; McGill University; Génome Québec; Genome Canada","keywords":"Value (mathematics); Production (economics); Chemistry; Biochemical engineering; Biotechnology; Biology; Mathematics; Engineering; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575208,0.0001101324,0.0001664114,0.0001928457,0.00002991518,0.000002081457,0.0001909839,0.0002439046,0.000006389935],"category_scores_gemma":[0.000141779,0.0000766645,0.00005646921,0.0002528096,0.0001348261,0.000001913962,0.00004081673,0.0000803917,0.000001121832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005731267,"about_ca_system_score_gemma":0.000008484758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525853,"about_ca_topic_score_gemma":0.00005318311,"domain_scores_codex":[0.9992623,0.00002346212,0.0002121921,0.0002929835,0.00003859508,0.0001704977],"domain_scores_gemma":[0.9994304,0.000005007434,0.00008309352,0.0004429246,0.00002733232,0.00001124872],"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":[0.00006531723,0.00005380722,0.0000601504,0.0000207041,0.00004232254,1.70978e-7,0.00004074332,0.00004366296,0.9754282,0.008489873,0.0002914246,0.01546359],"study_design_scores_gemma":[0.0001458527,0.0001402129,0.001071614,0.00001330948,0.00003005849,0.0000312034,0.00004093151,0.00002982799,0.9778813,0.0001110595,0.02041555,0.00008913289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932504,0.002853935,0.001358574,0.0007946398,0.001382998,0.0002197527,0.00004214642,0.00004348229,0.00005402026],"genre_scores_gemma":[0.9965717,0.0004436804,0.002443906,0.000008802788,0.0001758407,0.00004501213,0.0000296321,0.00001323527,0.0002682063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02012412,"threshold_uncertainty_score":0.3126287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590601456933507,"score_gpt":0.225487476332149,"score_spread":0.2095814617628139,"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."}}