{"id":"W2133063356","doi":"10.1128/aac.44.4.827-834.2000","title":"Multiparameter Flow Cytometric Analysis of Antibiotic Effects on Membrane Potential, Membrane Permeability, and Bacterial Counts of <i>Staphylococcus aureus</i> and <i>Micrococcus luteus</i>","year":2000,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Tetracycline; Micrococcus luteus; Staphylococcus aureus; Membrane permeability; Microbiology; Chloramphenicol; Bacteria; Biology; Antibacterial agent; Flow cytometry; Population; Amoxicillin; Antibiotics; Chemistry; Molecular biology; Biochemistry; Membrane; Medicine","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":[0.000111257,0.0002194474,0.0004505757,0.0001486663,0.0000591488,0.00003693436,0.00007906033,0.0001830791,0.0001323829],"category_scores_gemma":[0.000008885329,0.0001919916,0.0001248857,0.0002575266,0.0001835648,0.000008525071,0.00003892932,0.00005952983,0.000001303401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003929083,"about_ca_system_score_gemma":0.00001400328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004437022,"about_ca_topic_score_gemma":0.000004751212,"domain_scores_codex":[0.9989825,0.00004882181,0.0002703383,0.0004019155,0.00009099219,0.0002054341],"domain_scores_gemma":[0.999522,0.0000211463,0.0001088772,0.0002312967,0.00004525981,0.00007144846],"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":[0.0004863359,0.0001224751,0.001577842,0.0001120158,0.0004554715,0.000002226371,0.00004574183,0.00001146355,0.9794609,6.69309e-7,0.0006494211,0.01707542],"study_design_scores_gemma":[0.001529207,0.0002734264,0.02147397,0.00004132408,0.0002768751,0.000005940197,0.000003697141,0.0001449132,0.96973,6.422933e-7,0.00630057,0.0002194641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992005,0.0001045659,0.000006357009,0.00007596806,0.0001062918,0.0002144657,0.0001620025,0.000006439581,0.0001233591],"genre_scores_gemma":[0.9951253,0.003329914,0.000414562,0.0007866883,0.00009447475,6.487368e-7,0.0001084264,0.00002153978,0.0001184798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01989613,"threshold_uncertainty_score":0.7829189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004893783448527022,"score_gpt":0.2171806976599891,"score_spread":0.212286914211462,"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."}}