{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004888639,0.0001239969,0.0002039761,0.00005934773,0.0002347729,0.00003503844,0.0003444114,0.00003229753,0.000002710365],"category_scores_gemma":[0.0003201855,0.0001081734,0.000032513,0.0004314516,0.0006518867,0.00002647047,0.0003707999,0.0001155049,0.00000146965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008951986,"about_ca_system_score_gemma":0.0000574349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005728769,"about_ca_topic_score_gemma":0.0003976021,"domain_scores_codex":[0.9990082,0.00006362081,0.0001725986,0.0003762142,0.0001103882,0.0002689369],"domain_scores_gemma":[0.9995087,0.00001467293,0.00005780513,0.0002594271,0.0000553411,0.0001040565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002195322,0.00003277467,0.005487093,0.00001850155,0.00000525518,3.276695e-7,0.0002719212,0.0002172884,0.9913916,0.0001971429,0.00001407598,0.002342043],"study_design_scores_gemma":[0.0008560062,0.0002423083,0.03351607,0.00001040293,0.00001829076,0.000003950555,0.001343343,0.001941518,0.9492469,0.0009274781,0.01146936,0.0004243013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907227,0.007402764,0.0009815656,0.0003987581,0.00004192439,0.0001281339,0.00002493634,0.000008366127,0.0002908639],"genre_scores_gemma":[0.9914203,0.0008674783,0.007221224,0.0004242578,0.00001973658,0.00001063323,0.000004578893,0.000005549048,0.00002625884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04214465,"threshold_uncertainty_score":0.4411182,"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."}}