{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009773695,0.0006281913,0.000434737,0.000972146,0.0002130348,0.0007704407,0.0004360009,0.0008682023,0.003392313],"category_scores_gemma":[0.0007455215,0.0002345422,0.0003255715,0.001938882,0.0004486221,0.001622996,0.0005304559,0.001010292,0.001332021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866911,"about_ca_system_score_gemma":0.0006699594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002358127,"about_ca_topic_score_gemma":0.0004214261,"domain_scores_codex":[0.9997582,0.0000464452,0.00002951353,0.00005811106,0.00007705479,0.00003060685],"domain_scores_gemma":[0.9992685,0.0003598623,0.00009098259,0.00003054201,0.0001825129,0.00006758267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000159733,0.0001564381,0.0007690202,0.01674476,0.00008625197,0.0003355962,0.0002633909,0.001450963,0.05102118,0.01861155,0.01712284,0.8932782],"study_design_scores_gemma":[0.00001583261,0.0004281135,0.001836265,0.001525042,0.0001422,0.001362904,0.0002063146,0.001144196,0.02317721,0.006799466,0.963312,0.00005048921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002253758,0.987688,0.003057811,0.00068434,0.0003899726,0.000008568059,0.00002010458,0.00002755615,0.005869841],"genre_scores_gemma":[0.012475,0.9795793,0.003948984,0.0005233196,0.0007093788,0.00001727476,0.00007176979,0.000008850202,0.002666069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003392313,"threshold_uncertainty_score":0.01134843,"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."}}