{"id":"W4223627126","doi":"10.1038/s41598-022-09730-8","title":"Site specific incidence rate of genomic subtypes of enteropathogenic Escherichia coli and association with enteric inflammation and child growth","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Foreign, Commonwealth and Development Office; Fogarty International Center; International Centre for Diarrhoeal Disease Research, Bangladesh; Global Affairs Canada; Bill and Melinda Gates Foundation; Foundation for the National Institutes of Health","keywords":"Enteropathogenic Escherichia coli; Incidence (geometry); Escherichia coli; Microbiology; Biology; Enteric bacteria; Diarrhoeal disease; Medicine; Genetics; Diarrhea; Gene; Internal medicine","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":[0.0006312807,0.0001446709,0.0001489844,0.0005215975,0.0001071237,0.000331392,0.0002542856,0.0002412521,0.001680316],"category_scores_gemma":[0.002556682,0.0001559687,0.0002462786,0.00067944,0.0001741082,0.0002084949,0.0003306687,0.0003517781,0.0001420962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904273,"about_ca_system_score_gemma":0.0001664106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007020826,"about_ca_topic_score_gemma":0.008382843,"domain_scores_codex":[0.9995992,0.0001261021,0.0000352359,0.00009225745,0.00006055195,0.00008663687],"domain_scores_gemma":[0.9986847,0.0003643566,0.0006430978,0.0001169959,0.00009092103,0.00009990179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002380358,0.000004651915,0.9990975,0.000004546811,0.00001028409,0.00001775974,0.00003184336,0.00003657005,0.0001360998,0.00001461775,0.00002518913,0.0005972848],"study_design_scores_gemma":[4.39394e-7,0.00002598787,0.9995877,0.000002600158,0.000005113352,0.00006705322,0.00007419517,0.0001123822,0.00005333666,0.00001143959,0.00005891108,9.236547e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987372,0.0001927471,0.000156797,0.00002967396,0.0000025489,0.000002733079,0.0005874209,0.000005295738,0.000285606],"genre_scores_gemma":[0.9992423,0.0001056325,0.0001375155,0.000007174159,0.00000253134,0.000005000844,0.0003313259,0.000001700246,0.0001668582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007020826,"threshold_uncertainty_score":0.01395994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006229810198627983,"score_gpt":0.2028488488266911,"score_spread":0.1966190386280631,"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."}}