{"id":"W2933694073","doi":"10.1101/594564","title":"Identification and characterization of OmpT-like proteases in uropathogenic <i>Escherichia coli</i> clinical isolates","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of British Columbia; Public Health Ontario; University of Toronto; University of Ottawa; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; McGill University; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada","keywords":"Proteases; Microbiology; Escherichia coli; Biology; Protease; Asymptomatic bacteriuria; Virulence; Antimicrobial peptides; Antimicrobial; Enzyme; Gene; Biochemistry; Urine; Bacteriuria","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":[0.0002538815,0.0004943624,0.0004797708,0.0008868698,0.0002408885,0.00064262,0.0002707542,0.0004251741,0.0006884541],"category_scores_gemma":[0.001220645,0.0001434508,0.0003957323,0.001085032,0.0002414585,0.0001795542,0.0002832594,0.00046787,0.0004612195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340911,"about_ca_system_score_gemma":0.0002285137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402447,"about_ca_topic_score_gemma":0.0006797635,"domain_scores_codex":[0.9993588,0.0000789832,0.0001264934,0.0001582513,0.0001693612,0.0001080313],"domain_scores_gemma":[0.9993002,0.0001267046,0.0002033712,0.00004923878,0.0002143566,0.0001061056],"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":[0.0006155522,0.0003274009,0.1001683,0.0002767276,0.00006242838,0.00220428,0.0002981118,0.0002365395,0.8860417,0.0000762014,0.0004855785,0.009207138],"study_design_scores_gemma":[0.00006060909,0.001539694,0.6122205,0.00008855155,0.0002485504,0.02282087,0.001063459,0.001611547,0.3538918,0.00009327913,0.006325758,0.00003534947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941306,0.0006180975,0.001419153,0.0001216976,0.00002416073,0.0001219038,0.002877072,0.00002874668,0.0006585866],"genre_scores_gemma":[0.9861196,0.0005343343,0.004948595,0.0001522608,0.00005200018,0.00009671734,0.007235137,0.00002797903,0.0008334456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402447,"threshold_uncertainty_score":0.002788544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462750019506249,"score_gpt":0.2608213922066985,"score_spread":0.2461938920116361,"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."}}