{"id":"W4396900772","doi":"10.1101/2024.05.13.593818","title":"Temperature-responsive control of <i>Pseudomonas aeruginosa</i> virulence determinants through the stabilization of quorum sensing transcriptional regulator RhlR","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Quorum sensing; Pseudomonas aeruginosa; Virulence; Regulator; Microbiology; Transcriptional regulation; Control (management); Biology; Bacteria; Computer science; Gene; Genetics; Transcription factor","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001095459,0.0002363255,0.0001510658,0.00007534378,0.0000842914,0.0002561077,0.0001603408,0.000143545,0.001162565],"category_scores_gemma":[0.0001619355,0.00008793982,0.0001529616,0.00005409088,0.0002217354,0.0001430943,0.0002107821,0.0003475634,0.0003752992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031025,"about_ca_system_score_gemma":0.00009380886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005814955,"about_ca_topic_score_gemma":0.0005148327,"domain_scores_codex":[0.9998748,0.00002889179,0.000008267198,0.00003054615,0.0000302166,0.00002719244],"domain_scores_gemma":[0.9998722,0.00002539623,0.00004517637,0.00001523391,0.00001894624,0.00002300026],"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":[0.00003686466,0.000005716415,0.00007123464,0.000007326036,7.641734e-7,0.000007620945,0.000004200169,0.00002226373,0.9995812,0.00001955703,0.00001433565,0.0002291459],"study_design_scores_gemma":[0.000005696792,0.00008917198,0.006478691,0.000003376873,0.000002989242,0.00005129221,0.00002087269,0.001152589,0.9914442,0.00003560688,0.0007085081,0.00000717242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950082,0.0007312138,0.002578295,0.0001342671,0.0000227015,0.00001278816,0.0002685134,0.0001336642,0.0011103],"genre_scores_gemma":[0.9983876,0.0001226544,0.0007466609,0.00003560943,0.000005327787,0.0000101252,0.0001595446,0.00001942141,0.0005130485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162565,"threshold_uncertainty_score":0.003889143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007954819542772265,"score_gpt":0.2157802515961117,"score_spread":0.2078254320533395,"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."}}