{"id":"W4406603266","doi":"10.1101/2025.01.15.633269","title":"Stability of multi-species consortia during microbial metabolic evolution","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Stability (learning theory); Ecology; Biology; Biochemical engineering; Evolutionary biology; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001717797,0.0005143544,0.0006750682,0.001045173,0.001487129,0.001985315,0.001172703,0.00156599,0.001395474],"category_scores_gemma":[0.005362764,0.0004277532,0.001198845,0.0004446287,0.002207753,0.00225631,0.002223659,0.0008992738,0.0002239564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506682,"about_ca_system_score_gemma":0.0006756835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542667,"about_ca_topic_score_gemma":0.0007963615,"domain_scores_codex":[0.9993692,0.0002491174,0.00002876273,0.0001296199,0.0001113406,0.0001119374],"domain_scores_gemma":[0.9974151,0.001110127,0.0005865135,0.0002303559,0.0002037365,0.0004542021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002323994,0.000155654,0.01967664,0.0002182801,0.0002672375,0.001427155,0.0006215758,0.4198725,0.03596276,0.5102245,0.001599075,0.009742266],"study_design_scores_gemma":[0.00003482689,0.0001163408,0.003067626,0.00001775287,0.00004260001,0.0002861231,0.0001398092,0.8565411,0.001707311,0.1367162,0.001290909,0.00003939019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488625,0.0009913211,0.1370698,0.001938563,0.00008479828,0.00006357369,0.0001560231,0.000193832,0.01063961],"genre_scores_gemma":[0.9909061,0.0001943896,0.007081581,0.00005913489,0.00003081545,0.00006963707,0.00005166487,0.00003135581,0.001575346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001985315,"threshold_uncertainty_score":0.01093185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093042211048936,"score_gpt":0.2086710701702218,"score_spread":0.1977406480597325,"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."}}