{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007751341,0.0002258007,0.00009011594,0.0001017683,0.00009232679,0.000205047,0.0001004226,0.0002357358,0.000962849],"category_scores_gemma":[0.00006511337,0.00008799048,0.0001412805,0.00006225207,0.0001343504,0.0001893775,0.0001534466,0.0004494322,0.0004332417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886558,"about_ca_system_score_gemma":0.0001405136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003292726,"about_ca_topic_score_gemma":0.0005000734,"domain_scores_codex":[0.9999536,0.000008509506,0.00000403378,0.000009050241,0.00001135694,0.00001347477],"domain_scores_gemma":[0.9999456,0.000005620963,0.00002028361,0.000006616422,0.0000084883,0.00001335053],"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":[0.00002795816,0.000003774075,0.0001148296,0.00001859084,0.000001023572,0.00002688387,0.000004156395,0.00001060496,0.9991888,0.0000316304,0.00001409191,0.0005575918],"study_design_scores_gemma":[0.000003206861,0.0001509888,0.006220828,0.000007604822,0.000007701807,0.0004414138,0.00004496563,0.0002544388,0.9900817,0.00007811184,0.002705805,0.000003293442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837458,0.003871993,0.008078277,0.0005051608,0.0000573445,0.00002825147,0.0004162231,0.00009083906,0.003206264],"genre_scores_gemma":[0.9864432,0.00311495,0.006408197,0.0001987649,0.00002135264,0.00001742072,0.0006830692,0.00002735003,0.003085754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000962849,"threshold_uncertainty_score":0.003221095,"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."}}