{"id":"W3046102937","doi":"10.1038/s41467-020-17291-5","title":"A molecular map of murine lymph node blood vascular endothelium at single cell resolution","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; Vetenskapsrådet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Svenska Sällskapet för Medicinsk Forskning; American Heart Association; U.S. Department of Veterans Affairs","keywords":"Biology; Immune system; Angiogenesis; Population; Neogenesis; Lymphatic system; Lymph node; Immunology; Stem cell; Cell biology; Pathology; Medicine; Cancer research; Endocrinology","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":[0.00004403809,0.0001097304,0.0001172684,0.0004507261,0.0001747712,0.0002777557,0.0001446465,0.0001656531,0.001352437],"category_scores_gemma":[0.00005468019,0.0001627455,0.0001102939,0.0002787532,0.0001088174,0.0001978877,0.000129934,0.0002465547,0.0006473853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848642,"about_ca_system_score_gemma":0.0001459584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008268727,"about_ca_topic_score_gemma":0.00236255,"domain_scores_codex":[0.9999677,0.000001737765,0.000001573216,0.00001451674,0.000007701396,0.000006708231],"domain_scores_gemma":[0.999951,0.000009415781,0.00001228218,0.000006599128,0.000007339895,0.00001334062],"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":[0.00001411472,0.000001641306,0.0002538967,0.00002010066,0.000001358251,0.00001835523,0.00001266491,0.0001990085,0.9974518,0.0002398373,0.00006910464,0.00171804],"study_design_scores_gemma":[0.00002044449,0.0001602251,0.08503011,0.00005186748,0.00004536864,0.001003486,0.0001857021,0.02085689,0.8603136,0.002170558,0.0301336,0.00002832395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054725,0.00167624,0.07847492,0.0001421143,0.00002639375,0.00003807789,0.007460811,0.0008649678,0.005843915],"genre_scores_gemma":[0.8809785,0.001652954,0.1059116,0.0001033853,0.00001716011,0.0001175985,0.005083525,0.0002637248,0.00587164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001352437,"threshold_uncertainty_score":0.00452435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489033003580567,"score_gpt":0.2287309024445475,"score_spread":0.2138405724087419,"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."}}