{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109883,0.00008380331,0.0001010188,0.00003693986,0.0003399438,0.0000119948,0.0001846126,0.00006552311,0.00002197646],"category_scores_gemma":[0.00002787605,0.00007076628,0.00008897918,0.00009964919,0.000148618,0.000001425078,0.0002187628,0.00007532734,0.00000241604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002296989,"about_ca_system_score_gemma":0.0000420427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001772706,"about_ca_topic_score_gemma":0.000006715728,"domain_scores_codex":[0.9991771,0.0001443364,0.0002497244,0.0002119786,0.00003096403,0.0001858712],"domain_scores_gemma":[0.999502,0.00001477849,0.0001598027,0.0002634528,0.00004163425,0.00001829966],"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":[0.00006843692,0.00001716208,0.0002779745,0.000003531367,0.00003594226,7.220639e-7,0.00003571999,0.0001283053,0.9978734,0.00001936057,0.0005689784,0.0009704652],"study_design_scores_gemma":[0.0002160244,0.0001190969,0.0003018006,0.00000143672,0.00001690906,0.0001501031,0.0002901372,0.0001211331,0.9335992,0.000003739705,0.06507559,0.0001048616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982333,0.0005452888,0.0001904253,0.0001491492,0.0006385353,0.00009103477,0.00009957227,0.000004808803,0.00004788473],"genre_scores_gemma":[0.998904,0.00003015946,0.0004389257,0.0001343552,0.00008481086,0.000003632615,0.0002179259,0.00001043992,0.0001756932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06450661,"threshold_uncertainty_score":0.2885765,"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."}}