{"id":"W2134298620","doi":"10.1073/pnas.0913737107","title":"Quantitative determination of ion distributions in bacterial lipopolysaccharide membranes by grazing-incidence X-ray fluorescence","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; European Synchrotron Radiation Facility; Deutscher Akademischer Austauschdienst; St. Francis Xavier University; Advanced Foods and Materials Network","keywords":"Monolayer; Ion; Divalent; Chemistry; Membrane; Fluorescence; Molecule; Lipopolysaccharide; Analytical Chemistry (journal); Electron density; Crystallography; Chromatography; Electron; Biochemistry; Biology; Organic chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005700566,0.00007957057,0.0001155457,0.00007404622,0.00007750826,0.00001088551,0.0004938634,0.0001108042,0.000006380762],"category_scores_gemma":[0.0007403034,0.00005711103,0.00005510615,0.0002614785,0.0006993841,0.00004702526,0.00008531968,0.0001212743,1.720843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000691064,"about_ca_system_score_gemma":0.00004307755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002064332,"about_ca_topic_score_gemma":0.000003008673,"domain_scores_codex":[0.9989619,0.000007378756,0.000286005,0.0002044579,0.0004318078,0.0001085014],"domain_scores_gemma":[0.9993308,0.00003551846,0.0003459989,0.00001225223,0.0002534663,0.00002199314],"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":[0.00002758758,0.00003155857,0.004876283,0.0000311908,0.000002188642,2.49157e-9,0.00003937219,0.000002003271,0.9917324,0.003013837,0.00004512248,0.0001985057],"study_design_scores_gemma":[0.0001315195,0.00007166716,0.0246123,0.00003472967,0.000007998308,0.000003263163,0.00004753926,0.00008686194,0.9738117,0.001060535,0.00007004468,0.00006186356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992855,0.00001996692,0.000005342397,0.0002932609,0.00009726544,0.0001230619,0.00006709585,0.000002136295,0.000106353],"genre_scores_gemma":[0.9980701,0.00002387678,0.001778507,0.00001587222,0.00007328139,0.000007835794,0.000002829345,0.000002590555,0.00002509879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973602,"threshold_uncertainty_score":0.257691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750106965839669,"score_gpt":0.3024178585268237,"score_spread":0.284916788868427,"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."}}