{"id":"W2598354734","doi":"10.1016/j.biomaterials.2017.03.036","title":"Microlens topography combined with vascular endothelial growth factor induces endothelial differentiation of human mesenchymal stem cells into vasculogenic progenitors","year":2017,"lang":"en","type":"article","venue":"Biomaterials","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Mechanobiology Institute, Singapore; Ministry of Education - Singapore; National Research Foundation Singapore","keywords":"Matrigel; Mesenchymal stem cell; Vascular endothelial growth factor; CD34; Progenitor cell; Endothelial stem cell; Stem cell; Cell biology; Endothelial progenitor cell; Biology; Angiogenesis; Materials science; Pathology; Chemistry; Cancer research; Medicine; In vitro; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001550643,0.0002917907,0.0003944041,0.00008033898,0.0003232523,0.0001170818,0.0004672385,0.0002309831,0.00005185757],"category_scores_gemma":[0.00001097593,0.0002247087,0.0003101447,0.0000394268,0.0002323475,0.00001501814,0.0001544215,0.00001412983,0.000004709692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001497346,"about_ca_system_score_gemma":0.00006075699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002481809,"about_ca_topic_score_gemma":0.00005317038,"domain_scores_codex":[0.9985321,0.0001169901,0.0003834553,0.000447562,0.0002331776,0.0002867313],"domain_scores_gemma":[0.9986215,0.00000796629,0.0004716372,0.0006565221,0.0001566943,0.0000856805],"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":[0.0002364983,0.0001100737,0.01679402,0.00008649685,0.0004709645,0.000001612581,0.00009502195,1.862866e-7,0.9818504,0.00004712361,0.00003926432,0.0002683336],"study_design_scores_gemma":[0.001362423,0.0007385215,0.02658785,0.00003083534,0.0001075648,0.000002114546,0.0000358107,3.164706e-7,0.9704419,0.00002718477,0.0003843347,0.0002811419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982496,0.0002478374,0.00006113823,0.00001597871,0.0006278895,0.0004483398,0.0002978877,0.00001973013,0.00003158298],"genre_scores_gemma":[0.9988349,0.0001540083,0.0001706004,0.0000140002,0.0005735701,0.00006932679,0.00008766115,0.00004449576,0.00005142159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0114085,"threshold_uncertainty_score":0.9163354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438940464486553,"score_gpt":0.2491719229438737,"score_spread":0.2347825182990082,"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."}}