{"id":"W2957264081","doi":"10.1002/bit.27107","title":"Isolating and expanding endothelial progenitor cells from peripheral blood on peptide‐functionalized polystyrene surfaces","year":2019,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Montreal Heart Institute; McGill University","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Extracellular matrix; Progenitor cell; In vitro; Chemistry; Adhesion; Cell biology; Endothelial stem cell; Cell adhesion; CD31; Peptide; Endothelial progenitor cell; Ex vivo; In vivo; Cell; Stem cell; Biochemistry; 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":[0.000143601,0.0002162802,0.0002317477,0.0001938746,0.00007563403,0.00005070791,0.0001347716,0.0003766585,0.0001179504],"category_scores_gemma":[0.00004468831,0.0002017113,0.00003397446,0.0001708162,0.0001043119,0.00006902475,0.0001092984,0.000442099,0.00002495252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003256126,"about_ca_system_score_gemma":0.000009291549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002376383,"about_ca_topic_score_gemma":0.000002302219,"domain_scores_codex":[0.9989152,0.00001381543,0.0001994025,0.0003240465,0.0001638258,0.0003836909],"domain_scores_gemma":[0.9995326,0.0001526662,0.00002338428,0.0001867554,0.00001250382,0.00009210786],"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":[0.0000190658,0.00001250073,0.002805962,0.00007306191,0.0001137817,0.000007237667,0.00004975841,0.0006706383,0.9901142,0.0002176941,0.0000111565,0.005904963],"study_design_scores_gemma":[0.00115058,0.000207306,0.002261325,0.0001639957,0.00002986875,0.00002410074,0.0001172874,0.07311079,0.9194909,0.00006468088,0.002979257,0.0003998874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957126,0.001326463,0.00128054,0.0001414538,0.0005217649,0.0001915657,0.00002518804,0.0006581777,0.0001422414],"genre_scores_gemma":[0.9940115,0.0003427403,0.005334699,0.00001251025,0.0001413283,0.0000139842,0.000006238337,0.00003789713,0.00009909437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07244015,"threshold_uncertainty_score":0.8225549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007455982393060538,"score_gpt":0.2148847996629341,"score_spread":0.2074288172698736,"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."}}