{"id":"W2081868806","doi":"10.1016/j.tibtech.2007.08.008","title":"Current prospects for the production of coenzyme Q10 in microbes","year":2007,"lang":"en","type":"review","venue":"Trends in biotechnology","topic":"Coenzyme Q10 studies and effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coenzyme Q10; Metabolic engineering; Cofactor; Production (economics); Biosynthesis; Escherichia coli; Synthetic biology; Biochemistry; Biochemical engineering; Fermentation; Chemistry; Computational biology; Biology; Biotechnology; Enzyme; Gene","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":[0.001139337,0.001249906,0.001317357,0.00092313,0.0003349632,0.001286481,0.001328022,0.001720011,0.004401051],"category_scores_gemma":[0.0006803336,0.0003522975,0.000477137,0.001541504,0.0009468524,0.002457489,0.0008960267,0.00197994,0.003165614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046933,"about_ca_system_score_gemma":0.001373108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033554,"about_ca_topic_score_gemma":0.001566539,"domain_scores_codex":[0.9998258,0.00002753764,0.00001755502,0.00003503772,0.00006906909,0.00002510489],"domain_scores_gemma":[0.999668,0.0001455205,0.00003463105,0.00001124193,0.000081837,0.00005867067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002713788,0.0001136384,0.0001755892,0.009997895,0.00005871106,0.0002978843,0.00005411451,0.0007441193,0.01474221,0.009662635,0.02469693,0.939185],"study_design_scores_gemma":[0.00004766714,0.0001792095,0.0003670174,0.0008481885,0.00004894104,0.0004732912,0.00007816857,0.0001188364,0.002798317,0.004272697,0.9907459,0.00002173716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003894031,0.9952651,0.0008224059,0.0008894105,0.0007426535,0.000007815183,0.00001863901,0.00001697461,0.001847657],"genre_scores_gemma":[0.001041221,0.9966457,0.0006339939,0.0003023342,0.0003637786,0.000008654222,0.00002994322,0.00000220436,0.0009721207],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004401051,"threshold_uncertainty_score":0.014723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409314967927531,"score_gpt":0.3702487272500807,"score_spread":0.3261555775708054,"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."}}