{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004153529,0.0006097337,0.001368497,0.0004161902,0.0001432665,0.0000181647,0.0004200682,0.001170199,0.00001802867],"category_scores_gemma":[0.00001591997,0.0005539904,0.0002910423,0.0001420321,0.0005111562,0.000003112762,0.0003809382,0.0002391072,0.0000188883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506162,"about_ca_system_score_gemma":0.0004295178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009671193,"about_ca_topic_score_gemma":0.00002781957,"domain_scores_codex":[0.9967828,0.0002801717,0.0009026506,0.001225512,0.00002327499,0.0007855458],"domain_scores_gemma":[0.9987898,0.00003530327,0.0005102895,0.0005302591,0.00001800788,0.0001163646],"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":[0.00002542035,0.0002000882,0.00001605966,0.01036151,0.0001023066,2.020147e-7,0.00001789232,5.054412e-8,0.02127208,0.0001970166,0.1209944,0.846813],"study_design_scores_gemma":[0.0005762152,0.0006133515,0.000003919549,0.002204286,0.00003029933,0.0002116238,0.000008098345,3.73465e-7,0.0003093223,0.00001893149,0.9955334,0.000490196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000232187,0.9937375,0.0009570325,0.0001805958,0.002973654,0.001045305,0.001058868,0.00001932976,0.000004468093],"genre_scores_gemma":[0.000008133097,0.9873749,0.0007321455,0.0001483849,0.0006763924,0.0002278926,0.01057939,0.00008104682,0.0001716926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.874539,"threshold_uncertainty_score":0.9996912,"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."}}