{"id":"W1933105514","doi":"10.1111/1462-2920.12422","title":"<scp>C</scp> yclic‐di‐ <scp>GMP</scp> levels affect <scp> <i>P</i> </scp> <i>seudomonas aeruginosa</i> fitness in the presence of imipenem","year":2014,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo; Colorado State University","keywords":"Pseudomonas aeruginosa; Biology; Imipenem; Efflux; Biofilm; Microbiology; Intracellular; Bacteria; Gene; Antibiotics; Biochemistry; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008165787,0.000677119,0.0007160645,0.0001052143,0.0002120775,0.00005339544,0.0009702885,0.0007671666,0.00001450293],"category_scores_gemma":[0.0005757536,0.0005624395,0.0003269431,0.0001821808,0.000943153,0.00002715506,0.0006781949,0.0004679054,0.0001135248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005236861,"about_ca_system_score_gemma":0.00004404138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007061498,"about_ca_topic_score_gemma":0.00007218999,"domain_scores_codex":[0.9959728,0.0008390974,0.0007382885,0.001135769,0.0001737101,0.001140304],"domain_scores_gemma":[0.997282,0.00102293,0.000461648,0.001051395,0.00002039931,0.0001615727],"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":[0.00000979879,0.0002770465,0.007361181,0.00003930667,0.00007619077,0.00001314249,0.0005260881,0.00007850126,0.981578,0.00004525504,0.009400046,0.000595433],"study_design_scores_gemma":[0.001179834,0.0005636899,0.02033748,0.0000385429,0.00004758841,0.0002345015,0.0007850102,0.0000184696,0.7920956,0.0000265984,0.1845776,0.00009503132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945667,0.001425106,0.0001144148,0.00008925271,0.0006464951,0.0006883047,0.0004354244,0.00002617934,0.002008155],"genre_scores_gemma":[0.9952381,0.0004242338,0.0003535431,0.001213229,0.000442876,0.00004266264,0.0008532437,0.0000794009,0.001352748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1894824,"threshold_uncertainty_score":0.9996827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007468058437970833,"score_gpt":0.2063672493631166,"score_spread":0.1988991909251457,"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."}}