{"id":"W3010792017","doi":"10.1101/2020.03.13.991604","title":"A molecular map of lymph node blood vascular endothelium at single cell resolution","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; Vetenskapsrådet; Svenska Sällskapet för Medicinsk Forskning; American Heart Association; U.S. Department of Veterans Affairs","keywords":"Biology; Immune system; Population; Angiogenesis; Lymph node; Lymphatic system; Immunology; Cell biology; Phenotype; Stem cell; Pathology; Cancer research; Medicine; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002698716,0.0006376863,0.0006339362,0.0001226232,0.0001082763,0.00006555793,0.0006933229,0.0008756841,0.00002276881],"category_scores_gemma":[0.00009154613,0.0007436419,0.0005005701,0.0001779495,0.0001722356,0.00000680482,0.0007038265,0.0003607903,0.0000344509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154425,"about_ca_system_score_gemma":0.0003994268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007180784,"about_ca_topic_score_gemma":0.00000237094,"domain_scores_codex":[0.9969255,0.0001838851,0.0006474942,0.001264592,0.0004198905,0.0005585992],"domain_scores_gemma":[0.9973918,0.00001437886,0.0004513857,0.001482904,0.0003708058,0.0002887793],"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":[0.0001139212,0.0004324344,0.002350569,0.0008323504,0.0003191957,0.00004438037,0.00000780505,0.0004947692,0.9951947,0.00004467786,0.0001646139,5.633269e-7],"study_design_scores_gemma":[0.001271585,0.0001665086,0.00169815,0.000157891,0.0003630879,3.934352e-8,0.000001513183,0.0002670911,0.9886005,0.000001709264,0.006739305,0.0007326333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841092,0.006305068,0.00751395,0.0001559929,0.0007742899,0.0005292433,0.0004583232,0.0001108724,0.00004309688],"genre_scores_gemma":[0.9925323,0.0003998921,0.006025532,0.0003103532,0.0004390224,0.00007056683,0.000008575079,0.0002005051,0.00001321368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008423176,"threshold_uncertainty_score":0.9995015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114124418089857,"score_gpt":0.1890592497891369,"score_spread":0.1776468079801511,"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."}}