{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002509362,0.0001410301,0.0001324593,0.0001298425,0.0001172163,0.00006330539,0.0002275058,0.00004903366,0.00004419449],"category_scores_gemma":[0.0001090849,0.0001208242,0.00002928671,0.0002060176,0.0001184322,0.00001496621,0.0001001952,0.00001886108,0.00001286419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136402,"about_ca_system_score_gemma":0.00007831812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004259089,"about_ca_topic_score_gemma":0.00001779005,"domain_scores_codex":[0.9990486,0.00001907577,0.0001718639,0.0003187946,0.0001989476,0.0002427114],"domain_scores_gemma":[0.9994019,0.00001962464,0.00006739573,0.0002768068,0.0001568658,0.00007742953],"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":[0.000267609,0.00003309691,0.00005133989,0.00001026209,0.00000912133,9.897542e-7,0.00005676792,0.0008945455,0.9983634,0.0002639409,0.00001524016,0.0000336298],"study_design_scores_gemma":[0.0002009367,0.001138307,0.0008170253,0.00004566502,0.000006846988,0.000008675869,0.00008822461,0.0005440356,0.9959005,0.000004367631,0.001093526,0.0001518954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956065,0.00001595551,0.003430666,0.00005336327,0.00048938,0.0001384303,0.0001321851,0.00002146053,0.0001120109],"genre_scores_gemma":[0.9966586,0.00001076938,0.00291592,0.00002320884,0.0001329014,0.00001142823,0.00002737846,0.00001961227,0.0002001352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002462963,"threshold_uncertainty_score":0.4927066,"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."}}