{"id":"W3197018455","doi":"10.1128/msystems.00925-21","title":"Retooling Microbiome Engineering for a Sustainable Future","year":2021,"lang":"en","type":"article","venue":"mSystems","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microbiome; Bioremediation; Function (biology); Intestinal Microbiome; Biochemical engineering; Gut microbiome; Biotechnology; Engineering; Biology; Bioinformatics; Evolutionary biology; Bacteria; Genetics","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":[0.0001518447,0.00009984105,0.0001138816,0.00003001922,0.00005539348,0.00003774715,0.00006276016,0.00011014,0.000002926454],"category_scores_gemma":[0.00007715272,0.0001009362,0.00007458582,0.0001129842,0.000005596516,0.000002505477,0.00003320771,0.00004310617,0.000002696294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001471972,"about_ca_system_score_gemma":0.000037868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006687243,"about_ca_topic_score_gemma":0.000001658326,"domain_scores_codex":[0.9993456,0.0000106552,0.000128213,0.0002494517,0.00003510102,0.0002309721],"domain_scores_gemma":[0.9995618,0.000001554923,0.00002754544,0.0002236254,0.0001485953,0.00003687061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008959595,0.00001023608,0.00001374416,0.0002548371,0.00002831847,0.000003979822,0.0000223378,0.0003693286,0.9944059,0.0004987359,0.004226151,0.0001574229],"study_design_scores_gemma":[0.0001422724,0.00001792984,0.00001678839,0.00001299283,0.000006895356,0.00005712676,0.0001299792,0.00006195965,0.4805705,0.000001911746,0.5188931,0.00008852429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515821,0.01338155,0.03112118,0.000349311,0.002666837,0.0004849498,0.00002945129,0.00009166566,0.000292894],"genre_scores_gemma":[0.9836099,0.00007221352,0.002575584,0.00004314058,0.004132404,0.00004074768,0.0001809059,0.00003199141,0.00931308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.514667,"threshold_uncertainty_score":0.4116059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003049498860401584,"score_gpt":0.1908046026542229,"score_spread":0.1877551037938213,"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."}}