{"id":"W2802922774","doi":"10.1101/313536","title":"Heterogeneous Absorption of Antimicrobial Peptide LL37 in <i>Escherichia coli</i> Cells Enhances Population Survivability","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Materials Research; California State University, Northridge; Princeton Center for Complex Materials; National Science Foundation","keywords":"Escherichia coli; Population; Antimicrobial peptides; Antimicrobial; Biology; Antibiotics; Absorption (acoustics); Microbiology; Cell; Peptide; Chemistry; Genetics; Biochemistry; Physics; Gene; 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":[0.0001237387,0.0002199645,0.0002779716,0.00008707101,0.00007642545,0.0003960538,0.0001907193,0.0002492584,0.0005909945],"category_scores_gemma":[0.0002507207,0.00008815695,0.0001904228,0.00007387625,0.0002554956,0.0002490088,0.0002046809,0.0002758519,0.0001526223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350545,"about_ca_system_score_gemma":0.0001619792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006492965,"about_ca_topic_score_gemma":0.0002599088,"domain_scores_codex":[0.9999079,0.00001667228,0.000004034515,0.00002473251,0.00002185048,0.0000248636],"domain_scores_gemma":[0.9998699,0.00005717851,0.00003502309,0.0000123647,0.00001366988,0.00001179631],"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":[0.00004490679,0.00002217155,0.0005971479,0.00002963081,0.000003940986,0.00004202011,0.00001119196,0.004381169,0.9935189,0.0004283146,0.00003685856,0.0008837798],"study_design_scores_gemma":[0.00001103276,0.000166208,0.002375801,0.000004807995,0.00001023999,0.00006431351,0.00003482156,0.09634554,0.9001595,0.0003923047,0.0004272656,0.000008186798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892042,0.0001540594,0.009706781,0.0000730673,0.000007432854,0.000007761105,0.00006412402,0.00004616509,0.0007364406],"genre_scores_gemma":[0.9981899,0.00008514583,0.001409216,0.00001875627,0.000002072376,0.000005607392,0.00002468088,0.000006229102,0.0002584849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006492965,"threshold_uncertainty_score":0.002430975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067728341976773,"score_gpt":0.2118316665746454,"score_spread":0.2011543831548776,"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."}}