{"id":"W2141348755","doi":"10.1186/2045-824x-3-24","title":"Application of microtechnologies for the vascularization of engineered tissues","year":2011,"lang":"en","type":"article","venue":"Vascular Cell","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"U.S. Army Corps of Engineers; Division of Materials Research; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Tissue engineering; Economic shortage; Regenerative medicine; Organ system; Medicine; Biomedical engineering; Computer science; Pathology; Biology; Stem cell; Cell 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":[0.0003283409,0.00007323353,0.0001364477,0.0000497474,0.00004968951,0.000003981084,0.0004176452,0.0000949084,0.0000343018],"category_scores_gemma":[0.00002890683,0.00005194317,0.00009619399,0.000262499,0.0001832124,0.00003300471,0.00004680755,0.0000352564,0.00001279436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127867,"about_ca_system_score_gemma":0.00001787108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007299031,"about_ca_topic_score_gemma":0.000001968988,"domain_scores_codex":[0.9993078,0.00001608559,0.0002355377,0.0001620115,0.0001542745,0.0001242666],"domain_scores_gemma":[0.9991205,0.00008120072,0.0001417691,0.0005224573,0.0001181132,0.00001590234],"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":[0.000004287076,0.00006765049,0.00004818765,0.00006983397,0.00001467611,1.682786e-8,0.0001517374,0.00001668161,0.9910766,0.005748436,0.00006357751,0.002738273],"study_design_scores_gemma":[0.0001734937,0.00004710393,0.0003169871,0.00000528835,0.00005770332,2.833155e-7,0.00004114632,0.0006743877,0.9903967,0.003425397,0.00480431,0.00005715502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03236675,0.001360988,0.9652157,0.00005875382,0.00004563556,0.0007348745,0.00001498656,0.00006819138,0.0001341578],"genre_scores_gemma":[0.8434259,0.0001944375,0.155983,0.00001084977,0.00001799525,0.0003044136,0.00001560771,0.00001348142,0.0000342118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8110592,"threshold_uncertainty_score":0.2118181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078286881207592,"score_gpt":0.2087637386881685,"score_spread":0.1979808698760925,"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."}}