{"id":"W4389547254","doi":"10.3390/molecules28248025","title":"Recent Progress in Advanced Polyester Elastomers for Tissue Engineering and Bioelectronics","year":2023,"lang":"en","type":"article","venue":"Molecules","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioelectronics; Polyester; Elastomer; Biocompatibility; Materials science; Tissue engineering; Nanotechnology; Neural tissue engineering; Biocompatible material; Polymer science; Biomedical engineering; Composite material; Engineering; Biosensor","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":[0.0001472234,0.00008796866,0.0001032253,0.000108141,0.00004048235,0.00002735063,0.0001190629,0.00005055911,0.000009661655],"category_scores_gemma":[0.00002227918,0.00008437364,0.00001147418,0.0004379551,0.00006565211,0.00004390126,0.00004801303,0.00004856436,0.00003268949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004930994,"about_ca_system_score_gemma":0.00002506505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.729613e-7,"about_ca_topic_score_gemma":0.000006273526,"domain_scores_codex":[0.9991477,0.000009251202,0.0001386533,0.0002390144,0.0001072264,0.0003581776],"domain_scores_gemma":[0.9997104,0.00006019167,0.0000284119,0.0001225581,0.00002168319,0.00005673366],"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":[0.00001221801,0.00001667637,0.00009762041,0.00002736257,0.000002114492,0.000001987019,0.00006072055,0.00003013879,0.9413096,0.001423189,0.0002510591,0.0567673],"study_design_scores_gemma":[0.0005057665,0.000187732,0.001490635,0.00003471627,0.000006459802,0.000006042573,0.00001813563,0.002571577,0.8960363,0.0008284517,0.0981037,0.0002105122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832087,0.002655157,0.00956999,0.003396368,0.000150848,0.0006872066,0.00002270418,0.0002662443,0.00004279942],"genre_scores_gemma":[0.7842171,0.002314967,0.2089937,0.0005201981,0.0001485174,0.00293101,0.0001366861,0.0001386315,0.0005992716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1994237,"threshold_uncertainty_score":0.3440657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006424240261851381,"score_gpt":0.2675811093989306,"score_spread":0.2611568691370793,"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."}}