{"id":"W2031560973","doi":"10.1016/s0008-6215(03)00385-9","title":"Structural profiling of lipopolysaccharide glycoforms expressed by non-typeable Haemophilus influenzae: phenotypic similarities between NTHi strain 162 and the genome strain Rd","year":2003,"lang":"en","type":"article","venue":"Carbohydrate Research","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Biological Sciences","funders":"Karolinska Institutet","keywords":"Haemophilus influenzae; Chemistry; Heptose; Strain (injury); Nuclear magnetic resonance spectroscopy; Oligosaccharide; Population; Lipopolysaccharide; Electrospray ionization; Glycosylation; Phenotype; Microbiology; Biochemistry; Mass spectrometry; Stereochemistry; Gene; Biology; Mutant; Chromatography","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":[0.00009613312,0.0002593955,0.000165102,0.0001550064,0.0001357778,0.0002561429,0.000131073,0.0001936124,0.0005080192],"category_scores_gemma":[0.0002462021,0.0001174011,0.0002006381,0.000186195,0.0001406412,0.0001627341,0.0001296692,0.0003670169,0.0002313529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938112,"about_ca_system_score_gemma":0.0001047776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606411,"about_ca_topic_score_gemma":0.001605152,"domain_scores_codex":[0.999934,0.00001097341,0.000004566708,0.00001165171,0.00001945735,0.0000194913],"domain_scores_gemma":[0.999878,0.00002485456,0.00002424805,0.0000155652,0.00002668161,0.00003061297],"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":[0.00008394805,0.00000791878,0.0003617656,0.000007365259,0.000001733166,0.00003036752,0.0000154492,0.00001929436,0.9992753,0.0000127621,0.000009071103,0.0001749326],"study_design_scores_gemma":[0.00001324673,0.0003994126,0.07633483,0.000007577387,0.00002712387,0.0007705131,0.0003101919,0.001395571,0.9196196,0.00006058751,0.001052359,0.0000090011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989564,0.00009857553,0.0003692043,0.00002764839,0.000004325241,0.000004364564,0.0002054639,0.000005378626,0.0003286111],"genre_scores_gemma":[0.9962903,0.0001572973,0.001175218,0.00004369512,0.000005457072,0.000008954681,0.001272011,0.0000129073,0.001034253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001606411,"threshold_uncertainty_score":0.003194094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380110135522239,"score_gpt":0.3106400466529103,"score_spread":0.2768389452976879,"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."}}