{"id":"W4392623872","doi":"10.1101/2024.03.08.584056","title":"Ratiometric control of two microbial populations via a dual chamber bioreactor","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Ministero della Salute; European Commission","keywords":"Bioreactor; Dilution; Dual (grammatical number); Population; Biochemical engineering; Biological system; Single chamber; Control (management); Computer science; Process engineering; Biology; Engineering; Physics; Botany; Artificial intelligence; Biomedical engineering","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":[0.0008629218,0.0007331508,0.0006484585,0.0003777326,0.0002440031,0.001051462,0.001410107,0.0006457277,0.0007397488],"category_scores_gemma":[0.0008667054,0.0003611651,0.0003405152,0.0002497559,0.0005926312,0.0007092594,0.001153308,0.0007517794,0.0002807075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006892259,"about_ca_system_score_gemma":0.0003393605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006128781,"about_ca_topic_score_gemma":0.0004906293,"domain_scores_codex":[0.9989623,0.0001354277,0.00004732897,0.0004041223,0.0003669413,0.000083979],"domain_scores_gemma":[0.9993667,0.0001851752,0.0001690117,0.00006831277,0.00009959327,0.0001111264],"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":[0.00007865154,0.00003385116,0.0001387315,0.00002316039,0.000005154718,0.00001266797,0.00001074499,0.0007716714,0.9965993,0.0003240608,0.00003360872,0.001968572],"study_design_scores_gemma":[0.00005264605,0.0002218544,0.0007274261,0.000004693916,0.0000136313,0.00004997918,0.00001256453,0.08139849,0.91573,0.0002838597,0.001477199,0.00002763579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7623965,0.0006469356,0.2331607,0.0003187721,0.0002213874,0.000142335,0.000259397,0.0009123224,0.001941562],"genre_scores_gemma":[0.9024137,0.0001886856,0.09491476,0.0001201216,0.00004794803,0.0001800705,0.0001037104,0.00005644242,0.001974572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001410107,"threshold_uncertainty_score":0.00500071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176316869410683,"score_gpt":0.2345303264428643,"score_spread":0.2227671577487575,"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."}}