{"id":"W1924294988","doi":"10.1073/pnas.1508820112","title":"Deciphering tissue-induced <i>Klebsiella pneumoniae</i> lipid A structure","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Biocenter Finland; Åbo Akademi; European Commission; Queen's University; Queen's University Belfast; Consejo Superior de Investigaciones Científicas; Ministerio de Economía y Competitividad; Medicinska Understödsföreningen Liv och Hälsa","keywords":"Klebsiella pneumoniae; In vivo; Microbiology; Lipid A; Biology; Immune system; Colistin; Lipopolysaccharide; Pathogen; Bacteria; Antimicrobial; Klebsiella; Escherichia coli; Immunology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004532772,0.00008683046,0.0001071908,0.00003403778,0.00007174737,0.00002055998,0.0006667614,0.0001130374,0.00000340916],"category_scores_gemma":[0.0004564247,0.00006033445,0.00003927871,0.0002563553,0.0003388232,0.00001927002,0.0001743756,0.0000786775,6.057302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001423771,"about_ca_system_score_gemma":0.00004235264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002380765,"about_ca_topic_score_gemma":1.805035e-7,"domain_scores_codex":[0.9988477,0.000005028172,0.0002103448,0.0002233509,0.0005820163,0.0001315654],"domain_scores_gemma":[0.9994259,0.0000118938,0.0002634327,0.00001184583,0.0002431536,0.00004376469],"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":[0.00001843174,0.000009248814,0.009883028,0.00001785099,0.000006955826,2.69266e-9,0.00003731542,0.00002602672,0.9880784,0.000665855,0.001071701,0.000185142],"study_design_scores_gemma":[0.0001225795,0.00008822472,0.01881819,0.0000306839,0.000005248609,0.00001153868,0.00009322583,0.00003506787,0.9751983,0.003378986,0.00214226,0.00007572751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959806,0.00008910718,0.000001416355,0.0007453142,0.00005638383,0.0000968895,0.000008962658,0.000003905062,0.003017405],"genre_scores_gemma":[0.9974761,0.00001140005,0.001972184,0.0001891879,0.0001955539,0.000001216012,2.53363e-7,0.000005101724,0.0001490179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288018,"threshold_uncertainty_score":0.2460368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624722771479705,"score_gpt":0.3073323772354198,"score_spread":0.2710851495206228,"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."}}