{"id":"W2788160962","doi":"10.1016/j.mib.2017.12.007","title":"Designer microbiomes for environmental, energy and health biotechnology","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Government of Canada; Genome Alberta; Canada First Research Excellence Fund; Government of Alberta; Genome Canada","keywords":"Microbiome; Biology; Biotechnology; Biochemical engineering; Human health; Computational biology; Risk analysis (engineering); Engineering; Bioinformatics; Business","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":[0.0008465258,0.001012112,0.001121692,0.001096674,0.0002621148,0.001612227,0.0008294019,0.001608029,0.004758821],"category_scores_gemma":[0.0009902229,0.000302691,0.0003436617,0.001352798,0.0008868762,0.002281362,0.001828561,0.002604941,0.002016564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763216,"about_ca_system_score_gemma":0.0009021668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002989501,"about_ca_topic_score_gemma":0.0008480372,"domain_scores_codex":[0.9997012,0.00005593798,0.00002172099,0.00005145176,0.0001254704,0.00004425025],"domain_scores_gemma":[0.9996593,0.0001464254,0.00005443082,0.00002065388,0.00007110459,0.00004807471],"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":[0.00008021967,0.00006627599,0.0001753946,0.009411001,0.00004954398,0.0002132014,0.00007708987,0.0004206951,0.01608752,0.02369943,0.03092043,0.9187992],"study_design_scores_gemma":[0.000008466343,0.00004190774,0.0001804813,0.001193679,0.0000328921,0.0002937084,0.0000520027,0.0001300371,0.002220474,0.005156009,0.9906777,0.00001275952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003527352,0.9930425,0.001643506,0.001149261,0.001085321,0.000006873629,0.00003104861,0.000027578,0.002661195],"genre_scores_gemma":[0.002839213,0.9919969,0.001525792,0.0006040092,0.0006127718,0.00001800638,0.00004840511,0.000009302426,0.002345655],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004758821,"threshold_uncertainty_score":0.01591986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08518439108867036,"score_gpt":0.3863031058731485,"score_spread":0.3011187147844782,"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."}}