{"id":"W2172486832","doi":"10.1107/s2053230x15016064","title":"Structural analysis of SepL, an enteropathogenic<i>Escherichia coli</i>type III secretion-system gatekeeper protein","year":2015,"lang":"en","type":"article","venue":"Acta Crystallographica Section F Structural Biology Communications","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Lawrence Berkeley National Laboratory; Ciência sem Fronteiras; Canadian Institutes of Health Research; Centre for Blood Research, University of British Columbia; Ministério da Educação; Howard Hughes Medical Institute","keywords":"Secretion; Translocon; Effector; Type three secretion system; Virulence; Escherichia coli; Cytoplasm; Secretory protein; Enteropathogenic Escherichia coli; Biology; Cell biology; Transport protein; Microbiology; Type VI secretion system; Membrane protein; Inner membrane; Membrane; Biochemistry; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005007749,0.0003365681,0.000530738,0.0004495137,0.0004835672,0.00004442235,0.001173012,0.0003923397,0.00002403142],"category_scores_gemma":[0.0001968622,0.0003022803,0.000300318,0.001889411,0.0009449584,0.00003882219,0.0007086077,0.0004014166,3.388539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007035964,"about_ca_system_score_gemma":0.0001728234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005587752,"about_ca_topic_score_gemma":0.001805337,"domain_scores_codex":[0.9970991,0.00103618,0.0006295206,0.0005842329,0.0002267838,0.0004241732],"domain_scores_gemma":[0.9962747,0.00004792394,0.0004080747,0.001987188,0.001024454,0.0002576725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002679501,0.00003511779,0.02904598,0.00001601631,0.00151471,4.602764e-7,0.0002615469,0.0001186115,0.9678512,0.0007472996,0.00006078773,0.00008029051],"study_design_scores_gemma":[0.0125516,0.01661576,0.6954386,0.0001760767,0.006691432,0.000216787,0.02043583,0.09010767,0.03257409,0.002821179,0.1165166,0.005854373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971656,0.0007912401,0.0001882966,0.0002745251,0.0002331992,0.0005999269,0.0001620319,0.00009106234,0.0004941369],"genre_scores_gemma":[0.994767,0.0002068794,0.002297326,0.00007903876,0.0001108776,0.000127319,0.002325788,0.00003010718,0.00005563002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9352772,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917134125312597,"score_gpt":0.3023807547953589,"score_spread":0.2732094135422329,"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."}}