{"id":"W3048637524","doi":"10.1126/sciadv.aba0353","title":"Metabolic multistability and hysteresis in a model aerobe-anaerobe microbiome community","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Center for Environmental Microbial Interactions, California Institute of Technology; National Science Foundation","keywords":"Multistability; Microbiome; Hysteresis; Gut microbiome; Biology; Microbiology; Bioinformatics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005270716,0.0002869411,0.0005134519,0.0005788361,0.0005706474,0.001031458,0.0006087436,0.0007953372,0.001192039],"category_scores_gemma":[0.001551784,0.0002013581,0.00046333,0.0004214799,0.0008449181,0.000880454,0.001020077,0.0003727041,0.000133332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007870713,"about_ca_system_score_gemma":0.0007285356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006036823,"about_ca_topic_score_gemma":0.003041583,"domain_scores_codex":[0.9998453,0.00004644318,0.000007614226,0.00004806839,0.00002014265,0.00003244307],"domain_scores_gemma":[0.9994023,0.0002420673,0.0001369535,0.00005142769,0.00005199308,0.0001153257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004429707,0.000312628,0.02749519,0.0001272065,0.0001194532,0.000591176,0.0004744242,0.8816011,0.04437304,0.03891217,0.0006853936,0.004865191],"study_design_scores_gemma":[0.00003663511,0.00007573233,0.00276194,0.000004378403,0.00001159179,0.00003364995,0.0001053181,0.986388,0.0006791312,0.009641186,0.0002449561,0.00001744673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980319,0.00008580012,0.01705178,0.0003659957,0.00001272686,0.00002459326,0.0001910634,0.0000661553,0.001882906],"genre_scores_gemma":[0.9951433,0.00006715551,0.003958574,0.00004105654,0.000005135929,0.00004509377,0.00008653294,0.000008923702,0.0006442595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006036823,"threshold_uncertainty_score":0.01200336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339892891214542,"score_gpt":0.2826546026798445,"score_spread":0.2592556737676991,"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."}}