{"id":"W2897526549","doi":"10.1021/acsbiomaterials.8b00774","title":"Dynamics of Endothelial Cell Responses to Laminar Shear Stress on Surfaces Functionalized with Fibronectin-Derived Peptides","year":2018,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Saint-François d'Assise; McGill University; Université Laval; Effigis (Canada); PROTEO","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs; Canada Foundation for Innovation; Stem Cell Network; Pfizer","keywords":"Fibronectin; Materials science; Endothelial stem cell; Biophysics; Laminar flow; Peptide; Cell; Shear stress; Chemistry; Biochemistry; Composite material; Biology","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":[0.0001095251,0.0001567774,0.0001218902,0.00009194469,0.0001066099,0.0002464205,0.0000953078,0.0001807587,0.000514816],"category_scores_gemma":[0.0001350112,0.00009364985,0.00009598619,0.00009881529,0.0001288237,0.0001638595,0.0000924787,0.0002215786,0.0001010702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069439,"about_ca_system_score_gemma":0.00008136463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005425701,"about_ca_topic_score_gemma":0.0006312353,"domain_scores_codex":[0.999933,0.000007974954,0.000003398162,0.0000139304,0.00001909716,0.00002255726],"domain_scores_gemma":[0.9999443,0.00001612799,0.0000147606,0.000003864638,0.0000111173,0.000009838328],"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":[0.00002537462,0.000005614985,0.0001939335,0.000004716376,0.000001430869,0.00001165519,0.00001181305,0.00007814627,0.9991509,0.00001657405,0.00000838589,0.0004914865],"study_design_scores_gemma":[0.000007051342,0.0001180408,0.01255793,0.000002332202,0.00000686189,0.00004409035,0.00004331954,0.006695637,0.98007,0.00003617098,0.0004113718,0.000007182481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986718,0.0001069387,0.0009953438,0.00001082192,0.000004353411,0.000002689146,0.00003770196,0.000008114091,0.0001622696],"genre_scores_gemma":[0.9975734,0.0002185624,0.00146267,0.00001982704,0.000005436282,0.00001104271,0.0001119033,0.000006260381,0.0005908225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005425701,"threshold_uncertainty_score":0.001722217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007845515085349109,"score_gpt":0.2310536312888065,"score_spread":0.2232081162034574,"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."}}