{"id":"W3144837775","doi":"10.1021/acssynbio.0c00574","title":"An Automated Tabletop Continuous Culturing System with Multicolor Fluorescence Monitoring for Microbial Gene Expression and Long-Term Population Dynamics","year":2021,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Bistability; Population; Gene expression; Biological system; Dynamics (music); Biology; Term (time); Expression (computer science); Computational biology; Regulation of gene expression; Gene; Computer science; Genetics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001295928,0.0002040436,0.0002846731,0.00003843446,0.000175168,0.00004017924,0.0001363933,0.0002853898,0.000001357321],"category_scores_gemma":[0.0000324335,0.0001744191,0.00005357017,0.00007683828,0.00008322234,0.000007251627,0.00009018358,0.00005970018,6.622834e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005101903,"about_ca_system_score_gemma":0.00003411895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002085298,"about_ca_topic_score_gemma":0.00005486558,"domain_scores_codex":[0.9986584,0.0001389901,0.0002423921,0.0005885221,0.00005495788,0.0003167781],"domain_scores_gemma":[0.999196,0.00002113668,0.0001404579,0.0003923883,0.0001613949,0.00008865809],"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":[0.00007586298,0.00003700452,0.09962679,0.00006016081,0.0000705202,0.000006905643,0.00002088013,0.000586735,0.8974283,0.00002012426,0.000003515966,0.002063178],"study_design_scores_gemma":[0.0006693642,0.000200457,0.03074408,0.0001177155,0.0001190596,0.000188889,0.0001264173,0.01234718,0.9551817,0.000002619967,0.00002173107,0.000280819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885397,0.0006228898,0.01027979,0.00002165267,0.0001735964,0.0002525293,0.00003100712,0.00007512118,0.000003742654],"genre_scores_gemma":[0.9888809,0.00006029294,0.01003466,0.000008900987,0.0002153379,0.00004962174,0.0006798375,0.00003193088,0.00003856243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06888271,"threshold_uncertainty_score":0.7112604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006547052351400829,"score_gpt":0.2470724784409759,"score_spread":0.2405254260895751,"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."}}