{"id":"W2982497840","doi":"10.1002/advs.201900878","title":"Pericytes Contribute to Dysfunction in a Human 3D Model of Placental Microvasculature through VEGF‐Ang‐Tie2 Signaling","year":2019,"lang":"en","type":"article","venue":"Advanced Science","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ludwig Center at Harvard; National Science Foundation","keywords":"Angiopoietin receptor; Pericyte; Angiopoietin; Placenta; Angiogenesis; Placental growth factor; Vascular endothelial growth factor; Mural cell; Arteriogenesis; Vascular endothelial growth factor A; Biology; Pathogenesis; Crosstalk; Cell biology; Endothelial stem cell; Cancer research; Fetus; Immunology; VEGF receptors; Pregnancy; In vitro","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003165582,0.0003561075,0.0002084688,0.0003575732,0.0003048704,0.0005200132,0.0003031687,0.0004086375,0.00173622],"category_scores_gemma":[0.0001631702,0.0002306103,0.0003056586,0.0002271542,0.0002522553,0.0002643908,0.0002970435,0.0008873677,0.00040347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092784,"about_ca_system_score_gemma":0.0003254089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140039,"about_ca_topic_score_gemma":0.002381723,"domain_scores_codex":[0.9997529,0.00006049978,0.00001629647,0.00004212443,0.00009086026,0.00003724033],"domain_scores_gemma":[0.9998771,0.00002661406,0.00002518416,0.00003072203,0.00001054489,0.00002988349],"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":[0.0004101425,0.0001438206,0.0004905162,0.0001191017,0.0000205555,0.0006990219,0.0001675121,0.001256819,0.9910899,0.001508482,0.0003551209,0.003739035],"study_design_scores_gemma":[0.0001243773,0.001104266,0.01169507,0.00005986651,0.0001374237,0.003181047,0.0003461278,0.02007881,0.9365196,0.0009390445,0.02578181,0.00003257681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637734,0.003678064,0.0207433,0.0004995719,0.0002135825,0.00009472544,0.001461813,0.0002549944,0.009280585],"genre_scores_gemma":[0.9857821,0.00179334,0.00645372,0.00008556875,0.00001604289,0.0001033982,0.0005717183,0.00003069601,0.005163284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140039,"threshold_uncertainty_score":0.005808234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568827162246745,"score_gpt":0.2856287116788792,"score_spread":0.2699404400564118,"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."}}