{"id":"W3133964859","doi":"10.1016/j.mtbio.2021.100106","title":"The mechanical characterization of blood vessels and their substitutes in the continuous quest for physiological-relevant performances. A critical review","year":2021,"lang":"en","type":"review","venue":"Materials Today Bio","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Canada Foundation for Innovation","keywords":"Characterization (materials science); Creep; Materials science; Biomedical engineering; Mechanical engineering; Mechanical design; Computer science; Nanotechnology; Medicine; Engineering; Composite material","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":[0.001551638,0.0009722261,0.001412521,0.002336307,0.0002978327,0.001841048,0.0008373285,0.001344721,0.002541856],"category_scores_gemma":[0.00188376,0.0004040913,0.0005737219,0.002000125,0.0008921887,0.001924121,0.000532244,0.001041511,0.00148138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051296,"about_ca_system_score_gemma":0.001291848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008084179,"about_ca_topic_score_gemma":0.0008128285,"domain_scores_codex":[0.999,0.0001676298,0.0001394441,0.0001527643,0.0004952291,0.00004499926],"domain_scores_gemma":[0.9982521,0.0009833679,0.000215753,0.00005521894,0.0004513136,0.00004216437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001127039,0.0001204571,0.0008186325,0.06171717,0.0001883899,0.0004658017,0.0002760877,0.001651484,0.0357088,0.00903573,0.02764459,0.86226],"study_design_scores_gemma":[0.000006511968,0.0002651876,0.002291843,0.005217523,0.0002439307,0.002246041,0.0002055437,0.0005511825,0.01365205,0.002580931,0.9726751,0.00006413691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008535992,0.995965,0.00126371,0.0002670039,0.0003860221,0.0000102767,0.00004864882,0.00001176984,0.001193883],"genre_scores_gemma":[0.005306692,0.9913436,0.001411067,0.000247784,0.0004747226,0.00002308113,0.0001170477,0.000009749241,0.001066301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002541856,"threshold_uncertainty_score":0.008503377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385936326796815,"score_gpt":0.2826615345815515,"score_spread":0.2388021713135833,"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."}}