{"id":"W4221117908","doi":"10.1101/2022.03.06.483122","title":"On-chip engineered human lymphatic microvasculature for physio-/pathological transport phenomena studies","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation; National Cancer Institute; Canadian Institutes of Health Research; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Emergent Behaviors of Integrated Cellular Systems","keywords":"Lymphatic system; Interstitial fluid; Immune system; In vivo; Inflammation; Biology; Lymphatic Endothelium; Cell biology; Lymphatic vessel; Neuroscience; Pathology; Immunology; Medicine; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005989184,0.0008828199,0.001664616,0.0003308241,0.0003656169,0.00005657014,0.0004561635,0.0004296134,0.0001640599],"category_scores_gemma":[0.0003906291,0.0007746975,0.000815418,0.0003769619,0.0001559802,0.00006133222,0.0002261016,0.0002235551,0.00002247398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007470492,"about_ca_system_score_gemma":0.0006559513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000820941,"about_ca_topic_score_gemma":3.759544e-7,"domain_scores_codex":[0.9962384,0.0001386418,0.0008245845,0.001397874,0.0007027872,0.000697755],"domain_scores_gemma":[0.9968915,0.0002363752,0.0003773657,0.001644955,0.0004343802,0.0004154534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001352831,0.004737933,0.0148959,0.02771047,0.007543672,0.001494043,0.000400812,0.001211288,0.9272363,0.008172859,0.005236072,0.000007847039],"study_design_scores_gemma":[0.03341886,0.003675396,0.7939934,0.01031503,0.01301392,0.000001132641,0.0004392054,0.0006140571,0.1227722,0.0002388408,0.01373427,0.007783727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843719,0.009426092,0.0002824899,0.0001992665,0.001353508,0.003029032,0.0006888308,0.0006199187,0.00002894996],"genre_scores_gemma":[0.9941499,0.0001777159,0.001436668,0.0007526341,0.001124709,0.002091497,0.00001047812,0.0002061806,0.0000502146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8044641,"threshold_uncertainty_score":0.9994704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970123362633758,"score_gpt":0.2710956609600225,"score_spread":0.2413944273336849,"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."}}