{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229939,0.0002108957,0.0001359868,0.0002018708,0.0001067831,0.000231699,0.0001271476,0.0001615382,0.0007693905],"category_scores_gemma":[0.0001779371,0.00007833981,0.0001032662,0.0001474021,0.00009873239,0.0001044059,0.0001449926,0.0002138651,0.0003249194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007064978,"about_ca_system_score_gemma":0.0001453149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000304801,"about_ca_topic_score_gemma":0.0005031392,"domain_scores_codex":[0.999908,0.00001591601,0.000007942413,0.0000171502,0.00003385525,0.00001714096],"domain_scores_gemma":[0.9999326,0.00002351531,0.000009055256,0.000007962031,0.00001415324,0.00001264136],"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":[0.00001797982,0.000008822014,0.0001100003,0.00001557944,8.480315e-7,0.00003588402,0.00002049498,0.000086468,0.9977944,0.00003092532,0.00001593238,0.001862708],"study_design_scores_gemma":[0.000006629667,0.0001645898,0.001873998,0.00000625323,0.000007183277,0.0001606302,0.00002368779,0.001485994,0.9949393,0.00003541727,0.001293307,0.000002980413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769654,0.001354039,0.01957488,0.00003314894,0.00001649558,0.00008109675,0.0002389267,0.00005496892,0.001681027],"genre_scores_gemma":[0.9476833,0.001641722,0.04785721,0.00005226699,0.00001635138,0.000125622,0.0005038151,0.00002397723,0.002095734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007693905,"threshold_uncertainty_score":0.002573848,"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."}}