{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005311934,0.0007869202,0.0006716423,0.0006375053,0.0004900636,0.0006417249,0.001338011,0.0006880856,0.005049296],"category_scores_gemma":[0.0005272412,0.0004338918,0.0003821287,0.0006442775,0.0003980309,0.0005482135,0.0006516551,0.0009092457,0.001504908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004740129,"about_ca_system_score_gemma":0.0006037218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408324,"about_ca_topic_score_gemma":0.002668661,"domain_scores_codex":[0.9992766,0.00006379895,0.00004089497,0.0002954043,0.0002787554,0.00004457122],"domain_scores_gemma":[0.9993013,0.0002214994,0.0001339978,0.0001551719,0.0001136832,0.00007431397],"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":[0.00007625453,0.00006410201,0.0006633283,0.00005132119,0.00001110342,0.00002474232,0.00003145721,0.0003479608,0.9890665,0.0001516621,0.0003907482,0.009120765],"study_design_scores_gemma":[0.00005804633,0.0004430889,0.009001021,0.00001005734,0.0000493323,0.0002030901,0.00003613554,0.04305137,0.9374636,0.000259861,0.009338697,0.0000857628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3956949,0.0003182884,0.5875534,0.0002617443,0.000152839,0.0008569792,0.004158464,0.007632497,0.003370952],"genre_scores_gemma":[0.3113159,0.0004542013,0.6745902,0.0002714354,0.00007734412,0.003454906,0.002152218,0.0004994147,0.007184419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005049296,"threshold_uncertainty_score":0.01689154,"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."}}