{"id":"W2530406573","doi":"10.1038/ncomms13096","title":"Macrophage-derived extracellular vesicle-packaged WNTs rescue intestinal stem cells and enhance survival after radiation injury","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Medical Research Council; National Institute of Allergy and Infectious Diseases; Hospital for Sick Children; Wellcome Trust","keywords":"Extracellular vesicles; Stem cell; Macrophage; Extracellular; Cell biology; Extracellular vesicle; Rescue therapy; Biology; Cancer research; Microbiology; Chemistry; Immunology; Medicine; Microvesicles; Biochemistry; In vitro; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002987365,0.0001707372,0.0002389342,0.0001046496,0.0001397036,0.00001513664,0.000225865,0.0002069646,0.00003866074],"category_scores_gemma":[0.0001731751,0.0001157999,0.00004376334,0.0001960953,0.0002325442,0.00008127884,0.0001140498,0.0007029701,0.00002892604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008598556,"about_ca_system_score_gemma":0.0000464585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006861293,"about_ca_topic_score_gemma":0.00002712922,"domain_scores_codex":[0.9989581,0.0001794104,0.0002443622,0.0002361523,0.0001916296,0.0001903699],"domain_scores_gemma":[0.9983004,0.0002626993,0.00006425149,0.001070006,0.0001452922,0.0001573323],"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":[0.00009267472,0.00008426749,0.003324404,0.0000353226,0.00004436304,0.00001546167,0.0002889529,0.000001213247,0.955655,0.0007453121,0.0006825892,0.03903043],"study_design_scores_gemma":[0.002225576,0.000383284,0.1167543,0.0008718626,0.0001851349,0.00007050875,0.0001912873,0.0004109124,0.7685491,0.00002864517,0.1099105,0.000418853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953178,0.09123039,0.00496524,0.007267483,0.0004871849,0.0003970272,0.00003609747,0.0001471699,0.0001516465],"genre_scores_gemma":[0.9867838,0.00220608,0.005060234,0.00007041421,0.0002080679,0.00005022913,0.00001929074,0.00003199211,0.005569865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871059,"threshold_uncertainty_score":0.4722182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276507326829976,"score_gpt":0.283043050928783,"score_spread":0.2702779776604832,"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."}}