{"id":"W3037308687","doi":"10.1016/j.biomaterials.2020.120183","title":"Engineering functional microvessels in synthetic polyurethane random-pore scaffolds by harnessing perfusion flow","year":2020,"lang":"en","type":"article","venue":"Biomaterials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Geriatrics Society","keywords":"Biomedical engineering; Tissue engineering; Biomaterial; Perfusion; Polyurethane; Materials science; Scaffold; Neovascularization; Blood flow; Angiogenesis; Nanotechnology; Composite material; Medicine","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":[0.0005355165,0.0002256091,0.0003477728,0.0001408224,0.00004356634,0.0001368517,0.0002211499,0.000192099,0.0008907156],"category_scores_gemma":[0.0003339777,0.0002187214,0.0000590249,0.000346629,0.00005435314,0.0001191202,0.0001042539,0.00004023374,0.0001664777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000832704,"about_ca_system_score_gemma":0.00002964181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392284,"about_ca_topic_score_gemma":4.103509e-7,"domain_scores_codex":[0.9983796,0.00006511818,0.0004245417,0.0003074172,0.0003558719,0.0004674779],"domain_scores_gemma":[0.9994003,0.0001488951,0.00003181568,0.0001689884,0.00002615681,0.0002238471],"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":[0.00006951279,0.00001544528,0.0000691674,0.0002474965,0.00001450813,0.00002212851,0.0001045616,0.0008097764,0.9926402,0.000006917099,0.002842257,0.003158059],"study_design_scores_gemma":[0.001155667,0.00002073811,0.0006902684,0.0002029131,0.000007767534,0.00001456839,0.00001278436,0.05301042,0.938598,0.000008749767,0.0060033,0.0002747937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909098,0.0004526233,0.006220682,0.000639355,0.00092173,0.0002364673,0.00004778274,0.0004513418,0.0001201792],"genre_scores_gemma":[0.998165,0.000052317,0.001185765,0.00006343015,0.0003192299,0.00002985529,0.0000888545,0.00006533897,0.00003017872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05404214,"threshold_uncertainty_score":0.9752711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476215897690017,"score_gpt":0.2177062043813079,"score_spread":0.2029440454044077,"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."}}