{"id":"W4402222214","doi":"10.1016/j.matt.2024.05.036","title":"Biomaterials and biofabrication strategies for tissue-engineered heart valves","year":2024,"lang":"en","type":"article","venue":"Matter","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Taishan Scholar Foundation of Shandong Province; Natural Science Foundation of Shandong Province","keywords":"Biofabrication; Tissue engineering; Biomedical engineering; Materials science; Nanotechnology; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001862704,0.00009308294,0.0001116872,0.00006527798,0.00006639249,0.0003595722,0.00009711116,0.00005864659,0.0006145695],"category_scores_gemma":[0.000004567059,0.00007560787,0.00002206368,0.0001251076,0.00009707464,0.0001633447,0.00002903086,0.00001608317,0.0007811539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001849599,"about_ca_system_score_gemma":0.00003257833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001331673,"about_ca_topic_score_gemma":9.106087e-7,"domain_scores_codex":[0.9992778,0.0000157584,0.0001671257,0.0002607848,0.00009097532,0.000187556],"domain_scores_gemma":[0.9996614,0.00009201487,0.00001925113,0.0001579566,0.00002253738,0.00004679094],"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":[0.000002515225,0.000008020294,0.00001175243,0.0001196587,0.000003928834,2.40565e-7,0.00007398755,1.895231e-7,0.9517789,0.005512249,0.04214063,0.0003479071],"study_design_scores_gemma":[0.00006565006,0.00003735894,0.0008188519,0.00002789529,0.00001603061,0.0000133638,0.00001842074,0.00005579686,0.8817962,0.02133005,0.0957053,0.000115088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8203272,0.001336501,0.1511017,0.02398684,0.0009106082,0.0008546233,0.0001952495,0.000574789,0.0007125113],"genre_scores_gemma":[0.9488046,0.00001321612,0.0487785,0.0007377526,0.0002591456,0.0003956189,0.00004708735,0.00003008563,0.0009340259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284774,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009555726811869067,"score_gpt":0.2836482207489153,"score_spread":0.2740924939370462,"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."}}