{"id":"W2785665799","doi":"10.1172/jci.insight.96914","title":"Thrombospondin-1 protects against pathogen-induced lung injury by limiting extracellular matrix proteolysis","year":2018,"lang":"en","type":"article","venue":"JCI Insight","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Allergy and Infectious Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Neutrophil elastase; Matricellular protein; Inflammation; Microbiology; Immunology; Proteolysis; Neutrophil extracellular traps; Proteases; Thrombospondin; Pathogen; Thrombospondin 1; Elastase; Biology; Extracellular matrix; Cell biology; Cancer research; Matrix metalloproteinase; Metalloproteinase; Enzyme; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001209818,0.0003586841,0.000266801,0.0001988327,0.0001448644,0.0001944711,0.0002062714,0.0002806746,0.00146116],"category_scores_gemma":[0.0001473188,0.00007192684,0.0001513008,0.00008540374,0.0001987985,0.0001509401,0.0001234654,0.0007394344,0.0003286335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428263,"about_ca_system_score_gemma":0.0002784007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003702789,"about_ca_topic_score_gemma":0.0006508981,"domain_scores_codex":[0.9999382,0.00001530335,0.000005212333,0.000008402846,0.00001344255,0.00001934036],"domain_scores_gemma":[0.9998988,0.000009304887,0.00002510605,0.000008831495,0.00001174611,0.00004614007],"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":[0.001750659,0.0005437411,0.0006883982,0.0001755265,0.00003274297,0.0001198094,0.00002327964,0.0001569329,0.9802255,0.0002247067,0.0005830448,0.01547566],"study_design_scores_gemma":[0.0006164021,0.01058247,0.02653396,0.00005970869,0.0001212725,0.0009964296,0.00005928348,0.001464007,0.9449311,0.0004023115,0.0142171,0.00001591094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991003,0.005153992,0.001157621,0.0003433816,0.0001065788,0.00003772977,0.0003413968,0.0001391764,0.001717145],"genre_scores_gemma":[0.9892937,0.003867787,0.001482673,0.0001579657,0.00007901603,0.00005397317,0.0009127146,0.00001838417,0.004133916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146116,"threshold_uncertainty_score":0.004887998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856736523349168,"score_gpt":0.3058347641992655,"score_spread":0.2872673989657739,"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."}}