{"id":"W2069002434","doi":"10.1016/j.actbio.2009.03.013","title":"A poly(l-lactic acid) nanofibre mesh scaffold for endothelial cells on vascular prostheses","year":2009,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Natural Sciences and Engineering Research Council of Canada; Conseil Régional d'Alsace; Centre Hospitalier Universitaire de Québec; Centre québécois sur les matériaux fonctionnels; Camille and Henry Dreyfus Foundation","keywords":"Materials science; Scaffold; Biomedical engineering; Polymer; Spinning; Polyester; Endothelial stem cell; Porosity; Textile; Tissue engineering; Composite material; In vitro; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005422577,0.000387506,0.0004372403,0.0001663884,0.0003456615,0.0003630248,0.0007975856,0.0002679277,0.0005122327],"category_scores_gemma":[0.00005632591,0.0003193589,0.0001871829,0.0003700317,0.0002007087,0.0002445774,0.00007155955,0.00004650939,0.0005948561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329678,"about_ca_system_score_gemma":0.0001112129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966105,"about_ca_topic_score_gemma":0.000001897651,"domain_scores_codex":[0.9971981,0.0001010189,0.0005143316,0.0007661043,0.0005769728,0.0008434859],"domain_scores_gemma":[0.9984763,0.00009710966,0.0002432723,0.0008325158,0.0001077499,0.0002430812],"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":[0.0002122857,0.0002602504,0.000003899476,0.00004029113,0.00001838489,0.000002446984,0.00008917733,1.080703e-8,0.9823564,0.002800594,0.01206873,0.002147542],"study_design_scores_gemma":[0.0008816489,0.0008207198,0.0001366619,0.00005364699,0.00005517145,0.00001116884,0.00001039515,0.000007032772,0.946682,0.002010657,0.04895604,0.0003747936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773915,0.0007487631,0.002332447,0.006750659,0.006540779,0.002993653,0.001309256,0.001220426,0.0007124917],"genre_scores_gemma":[0.9803711,0.00002440231,0.01639792,0.00129639,0.0009914918,0.000221757,0.00008298823,0.0000574324,0.00055652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03688731,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156926278531058,"score_gpt":0.2545859801106127,"score_spread":0.2430167173253021,"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."}}