{"id":"W2794980120","doi":"10.1021/acsinfecdis.7b00156","title":"Carbapenems and Lipid Bilayers: Localization, Partitioning, and Energetics","year":2018,"lang":"en","type":"article","venue":"ACS Infectious Diseases","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Economic Development and Innovation; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Doripenem; Ertapenem; Meropenem; Imipenem; Bacterial outer membrane; Lipid bilayer; Membrane; Chemistry; Population; Carbapenem; Biophysics; Biochemistry; Biology; Antibiotics; Medicine; Escherichia coli; Antibiotic resistance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001717121,0.0004316492,0.0004829887,0.0003081365,0.0004314919,0.0005997993,0.0003957902,0.0006041368,0.001357406],"category_scores_gemma":[0.0003762141,0.0003121765,0.0003392011,0.0003306012,0.0005050809,0.0009591636,0.0004089988,0.0004850083,0.0002716693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000693458,"about_ca_system_score_gemma":0.0003502007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866314,"about_ca_topic_score_gemma":0.001521892,"domain_scores_codex":[0.9998791,0.0000180843,0.00000637836,0.00003067943,0.0000376078,0.00002802298],"domain_scores_gemma":[0.9999118,0.00002637783,0.00001855205,0.00000667589,0.00002075762,0.00001587319],"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":[0.0007973742,0.0002573988,0.01409419,0.000637153,0.0001539736,0.0008109888,0.0003188989,0.3384796,0.6114929,0.01522256,0.0006735251,0.01706129],"study_design_scores_gemma":[0.0001375251,0.0002674493,0.02074384,0.00004134204,0.00003417946,0.0003388925,0.0003278182,0.8509804,0.1143456,0.009540361,0.003139874,0.0001026828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901799,0.002597385,0.004144188,0.0002991878,0.00002697718,0.00001758017,0.0002233734,0.00003024379,0.002481164],"genre_scores_gemma":[0.9956792,0.001390108,0.001898683,0.00003065686,0.000009236393,0.0000200122,0.0002354055,0.00002134352,0.0007153601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002866314,"threshold_uncertainty_score":0.005699277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00527169259617263,"score_gpt":0.2361011092816001,"score_spread":0.2308294166854274,"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."}}