{"id":"W4388021175","doi":"10.3390/pharmaceutics15112546","title":"Preparation and Microscopic Mechanical Characterization of L-Methionine-Based Polyphosphazene Fibrous Mats for Vascular Tissue Engineering","year":2023,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tissue engineering; Mesenchymal stem cell; Extracellular matrix; Biocompatibility; Scaffold; Elastin; Chemistry; Biomedical engineering; Fibroblast; Electrospinning; Biophysics; Materials science; Cell biology; Biochemistry; Polymer; In vitro; Pathology; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248507,0.0002599779,0.00006885585,0.0002445336,0.0001642414,0.0001288247,0.00008016159,0.0002256619,0.000331934],"category_scores_gemma":[0.0002201275,0.00009443704,0.00009888994,0.00009748877,0.000178356,0.0001748333,0.00008308279,0.0001515876,0.00009619135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009814974,"about_ca_system_score_gemma":0.0000818955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003025612,"about_ca_topic_score_gemma":0.000641834,"domain_scores_codex":[0.9999241,0.000008415879,0.00000732785,0.00002045153,0.00002871613,0.00001109181],"domain_scores_gemma":[0.999791,0.0000615095,0.00006659216,0.00001903325,0.00003887934,0.00002308433],"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":[0.000005028719,0.000002097464,0.00005422644,0.000008638234,6.40001e-7,0.000015223,0.000006685596,0.00002591993,0.9994193,0.000008089602,0.000002010131,0.0004522379],"study_design_scores_gemma":[0.000002193438,0.0001021654,0.004571282,0.000002705524,0.00000457848,0.0001295587,0.00001510448,0.0005318059,0.9941164,0.00001494472,0.0005063737,0.000002755352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816872,0.0006956488,0.01645124,0.000035804,0.00001926964,0.00003980637,0.0001376292,0.0000771004,0.0008563108],"genre_scores_gemma":[0.9781976,0.0003432364,0.02045703,0.00002038934,0.000009522866,0.00005315528,0.0001305708,0.00001934165,0.0007690619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000331934,"threshold_uncertainty_score":0.001189113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852445158386586,"score_gpt":0.3346726278171164,"score_spread":0.3161481762332505,"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."}}