{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083578,0.0005596891,0.0005807475,0.0005186569,0.0002181994,0.0004437742,0.000335494,0.0005442353,0.000906555],"category_scores_gemma":[0.0005286991,0.0001292411,0.0002495516,0.0005314635,0.0002989398,0.0004622216,0.0002476559,0.0008095881,0.0003450512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168582,"about_ca_system_score_gemma":0.0001565719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999782,"about_ca_topic_score_gemma":0.000337998,"domain_scores_codex":[0.9994313,0.0001057373,0.00005525402,0.0001760809,0.0001659925,0.00006556429],"domain_scores_gemma":[0.9992936,0.0002212707,0.0001900548,0.00005142872,0.0001825458,0.00006126153],"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":[0.00006017677,0.00002141082,0.0001843099,0.00002237795,0.00000315541,0.000007194153,0.00001743531,0.00005130465,0.9985966,0.0000394243,0.00002691816,0.0009695843],"study_design_scores_gemma":[0.000008664343,0.0002620644,0.004123637,0.000005516139,0.00001410655,0.000111442,0.00002717286,0.003253026,0.9913908,0.0001071035,0.000683167,0.00001342175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269768,0.001891128,0.06640591,0.0002182239,0.00007883882,0.0002374848,0.001462179,0.0005344908,0.002195054],"genre_scores_gemma":[0.8998356,0.001437919,0.09245484,0.0002760417,0.00008014071,0.0007172941,0.001864847,0.0001417668,0.003191448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000906555,"threshold_uncertainty_score":0.003750086,"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."}}