{"id":"W2401525265","doi":"10.1007/978-1-4939-2760-9_5","title":"Glyco-engineering O-Antigen-Based Vaccines and Diagnostics in E. coli","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Glycosylation; Glycan; Escherichia coli; Western blot; Plasmid; Computational biology; Antigen; Protein expression; Biology; Chemistry; Molecular biology; Biochemistry; Glycoprotein; Immunology; Gene","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":[0.0002205105,0.0002924385,0.0001708277,0.0001866168,0.0001179804,0.0004560359,0.0002500482,0.0003284127,0.0003017454],"category_scores_gemma":[0.0002049684,0.0001720366,0.0001992958,0.0002535117,0.0001989525,0.0002385269,0.0003164484,0.0005682872,0.0002997932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648076,"about_ca_system_score_gemma":0.0002001279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007193228,"about_ca_topic_score_gemma":0.0007903147,"domain_scores_codex":[0.9998567,0.0000357357,0.00001164616,0.00001642527,0.00005316335,0.00002630604],"domain_scores_gemma":[0.9999549,0.000008253836,0.00001189702,0.000007244,0.00001003828,0.000007587],"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":[0.00007300238,0.00005302195,0.0001607144,0.00003499697,0.000003345745,0.00003524389,0.00001452053,0.0004779026,0.9938007,0.0008342499,0.00005005623,0.00446233],"study_design_scores_gemma":[0.000006905611,0.0001129704,0.000387061,0.00000568837,0.000006424754,0.00006570821,0.00001565644,0.001637891,0.9949495,0.0001928667,0.002616049,0.000003382254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9473727,0.001989674,0.04607875,0.00039797,0.00007804267,0.00009770883,0.0001866271,0.0001002824,0.003698301],"genre_scores_gemma":[0.957797,0.002660864,0.03369534,0.0001572592,0.00001176749,0.00004358912,0.0003654972,0.00004056557,0.005228117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007193228,"threshold_uncertainty_score":0.001921356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984249604448838,"score_gpt":0.3933369448531133,"score_spread":0.3634944488086249,"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."}}