{"id":"W4307499026","doi":"10.1099/mic.0.001252","title":"The identification of Pseudomonas aeruginosa persisters using flow cytometry","year":2022,"lang":"en","type":"article","venue":"Microbiology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pseudomonas aeruginosa; Flow cytometry; Multidrug tolerance; Microbiology; Biology; Population; Cytometry; Opportunistic pathogen; Bacteria; Chemistry; Molecular biology; Medicine; Biofilm; Genetics","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":[0.0007811122,0.0006302143,0.0004632966,0.001900596,0.0006339336,0.0008304944,0.0004949803,0.00100303,0.001446601],"category_scores_gemma":[0.0009085871,0.0002284222,0.000314897,0.0007022865,0.0004379999,0.0008471826,0.0006643318,0.001172583,0.0009684496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376763,"about_ca_system_score_gemma":0.0003533028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004584383,"about_ca_topic_score_gemma":0.000649049,"domain_scores_codex":[0.9993831,0.0001273966,0.00005720253,0.0001558624,0.0001909124,0.0000855682],"domain_scores_gemma":[0.9994173,0.0002370187,0.00009355878,0.0000496806,0.0001430956,0.0000593741],"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":[0.00002270679,0.0000244629,0.0002810789,0.00004354956,0.000002643391,0.00001828965,0.00002726749,0.00004696488,0.9964329,0.0001502891,0.00007378888,0.002876044],"study_design_scores_gemma":[0.00001231533,0.0002275715,0.006044934,0.00003238413,0.00001906052,0.0003649444,0.0000756135,0.005097634,0.9818937,0.0007166908,0.00547656,0.00003860796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5835788,0.007208695,0.3937885,0.001231272,0.0002926502,0.001442988,0.003354593,0.00179322,0.007309319],"genre_scores_gemma":[0.6176005,0.009242916,0.3588535,0.0008739211,0.0001961356,0.002279926,0.003253436,0.0002266909,0.007473008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900596,"threshold_uncertainty_score":0.004839361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046284134805404,"score_gpt":0.2295281464663886,"score_spread":0.2190653051183345,"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."}}