{"id":"W1988667013","doi":"10.1021/acs.jproteome.5b00074","title":"Mass Spectrometry-Based Proteomics Identification of Enteropathogenic <i>Escherichia coli</i> Pedestal Constituents","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Enteropathogenic Escherichia coli; Proteomics; Biology; Mass spectrometry; Escherichia coli; Actin; Computational biology; Pedestal; Identification (biology); Cell biology; Chemistry; Biochemistry; Chromatography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775905,0.0003467909,0.0002463009,0.0004357084,0.0002045091,0.0002902942,0.0001681579,0.0002472555,0.0002855906],"category_scores_gemma":[0.0003320752,0.0000991429,0.0002104285,0.0002713095,0.0001685144,0.0001783949,0.0002251169,0.0002516173,0.0002094072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182408,"about_ca_system_score_gemma":0.000193962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004918161,"about_ca_topic_score_gemma":0.0008105595,"domain_scores_codex":[0.999842,0.00003210701,0.00001519832,0.00003622686,0.00005074897,0.00002350884],"domain_scores_gemma":[0.9998548,0.00003423447,0.00003137619,0.00001322484,0.00004092492,0.00002546457],"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":[0.00002861325,0.000009535261,0.0003825554,0.00001285067,0.000002885289,0.00001928514,0.000004935011,0.00001988946,0.9989387,0.000009160339,0.00001201718,0.0005595455],"study_design_scores_gemma":[0.000005470118,0.000167965,0.03106815,0.000006581975,0.00002749065,0.0004532479,0.00005206694,0.001737118,0.9655813,0.0000349838,0.0008588482,0.000006794498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904273,0.0007467353,0.007637303,0.00006748768,0.00001254185,0.00004429641,0.0004874541,0.00004655409,0.0005303091],"genre_scores_gemma":[0.9598301,0.001351618,0.03538923,0.000130523,0.00001641873,0.00006475584,0.00194554,0.00004557168,0.001226216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004918161,"threshold_uncertainty_score":0.001468062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06128918195762947,"score_gpt":0.3626274860199662,"score_spread":0.3013383040623367,"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."}}