{"id":"W2796843994","doi":"10.1164/rccm.201711-2259le","title":"Lung Ultrasound and Microbubbles Enhance Aminoglycoside Efficacy and Delivery to the Lung in <i>Escherichia coli</i> –induced Pneumonia and Acute Respiratory Distress Syndrome","year":2018,"lang":"en","type":"letter","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Université Savoie Mont Blanc; Ontario Centres of Excellence","keywords":"Medicine; Microbubbles; Aminoglycoside; Pneumonia; Lung; Respiratory distress; Lung ultrasound; Acute respiratory distress; Respiratory system; Ultrasound; Anesthesia; Antibiotics; Intensive care medicine; Internal medicine; Microbiology; Radiology","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":[0.0006966325,0.0002642421,0.0004373263,0.0001710658,0.000390886,0.0005536465,0.0003163603,0.007225591,0.001586385],"category_scores_gemma":[0.003761833,0.0001287278,0.0003050039,0.0001011661,0.0006118903,0.0004824387,0.000270699,0.002875018,0.0007041412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009521033,"about_ca_system_score_gemma":0.0004191288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004597492,"about_ca_topic_score_gemma":0.0008667673,"domain_scores_codex":[0.9996746,0.0001327102,0.00003470355,0.00002508128,0.00007628687,0.00005671635],"domain_scores_gemma":[0.9986438,0.000968474,0.000124337,0.00003420511,0.0001165528,0.0001126861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004432461,0.001165006,0.02628417,0.001011614,0.0001150614,0.2915758,0.0009584137,0.0008178787,0.04842218,0.01100947,0.4190921,0.1951159],"study_design_scores_gemma":[0.002378792,0.007507693,0.02693741,0.0005455672,0.0002863096,0.2558076,0.001316327,0.008115472,0.05560724,0.01378342,0.6275843,0.0001298737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1764147,0.01513391,0.002750046,0.7578682,0.01245783,0.0001483194,0.00005523264,0.0002427387,0.034929],"genre_scores_gemma":[0.7069237,0.008366184,0.003736994,0.2227889,0.04335711,0.0001107847,0.00004253067,0.00005633485,0.01461743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007225591,"threshold_uncertainty_score":0.006908059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052847440737272,"score_gpt":0.333001140100701,"score_spread":0.3124726656933283,"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."}}