{"id":"W4411369822","doi":"10.1016/j.copbio.2025.103321","title":"Carbon-efficient waste upcycling: combining syngas fermentation and chain elongation with synthetic consortia","year":2025,"lang":"en","type":"review","venue":"Current Opinion in Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Syngas; Bioprocess; Waste management; Fermentation; Biochemical engineering; Synthetic biology; Carbon fibers; Pulp and paper industry; Environmental science; Chemistry; Materials science; Engineering; Chemical engineering; Organic chemistry; Catalysis","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":[0.0006443212,0.001296015,0.001222191,0.00156205,0.0002128078,0.00118163,0.001046782,0.001323157,0.002766267],"category_scores_gemma":[0.0004047777,0.0004395311,0.0005920358,0.001795049,0.0004578247,0.001872009,0.0009158856,0.001382879,0.002251363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006010096,"about_ca_system_score_gemma":0.0007614567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006107212,"about_ca_topic_score_gemma":0.0009725472,"domain_scores_codex":[0.9998005,0.00002675243,0.00001665981,0.0000452268,0.00007687742,0.00003392998],"domain_scores_gemma":[0.9998291,0.00005785341,0.00003621219,0.000007869192,0.00004306592,0.00002588223],"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":[0.0001568377,0.0001440881,0.0001460342,0.02397797,0.0001409499,0.0003727163,0.00004754422,0.001337345,0.01524432,0.008081362,0.01309496,0.937256],"study_design_scores_gemma":[0.00004655195,0.0003332303,0.0005514633,0.001895059,0.0001239914,0.0008302309,0.00005415365,0.0004561628,0.007770651,0.002429674,0.9854655,0.00004332974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009031862,0.9949463,0.0009228107,0.0002635878,0.0002672482,0.00001747972,0.00004126295,0.00002582002,0.002612387],"genre_scores_gemma":[0.004146104,0.9928935,0.00101908,0.0002319516,0.0001460876,0.00002261774,0.00007803066,0.000006374276,0.001456174],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002766267,"threshold_uncertainty_score":0.009254158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219264837109062,"score_gpt":0.3112814594414583,"score_spread":0.2893549757305521,"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."}}