{"id":"W2747163193","doi":"10.1038/nmat4956","title":"Flexible shape-memory scaffold for minimally invasive delivery of functional tissues","year":2017,"lang":"en","type":"article","venue":"Nature Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":409,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Scaffold; Biomedical engineering; Myocardial infarction; Tissue engineering; Cardiac function curve; Bioresorbable scaffold; Biocompatible material; Materials science; Cardiology; Medicine; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005904255,0.0001839908,0.0003752283,0.00007550038,0.0004210007,0.0001852299,0.0007992145,0.0004089171,0.002053294],"category_scores_gemma":[0.0002869299,0.0001588966,0.00007863403,0.00005773157,0.0003771743,0.000245359,0.0002064628,0.00008462734,0.0001447143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476415,"about_ca_system_score_gemma":0.0001545332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003092664,"about_ca_topic_score_gemma":0.00001288342,"domain_scores_codex":[0.9984283,0.00003763847,0.0004149536,0.0004193457,0.0003705484,0.0003292326],"domain_scores_gemma":[0.9981738,0.000252364,0.0004893582,0.0006756026,0.0003209995,0.00008782346],"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":[0.0001877007,0.00006051442,0.00003205185,0.0001313134,0.000016542,0.000001244364,0.0000318935,4.327022e-7,0.9820228,0.003378157,0.01361788,0.0005195012],"study_design_scores_gemma":[0.0005130756,0.000115919,0.00267769,0.00006964836,0.00003496976,0.000005850198,0.00001102466,0.000002412698,0.9865815,0.004166392,0.005651443,0.0001700923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940086,0.0004318151,0.0002205584,0.001023749,0.001742077,0.0006550103,0.0006348193,0.00009480717,0.001188561],"genre_scores_gemma":[0.9772696,0.00003862394,0.01974024,0.0003853638,0.000764241,0.0002317922,0.0001124088,0.00002987681,0.001427853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951968,"threshold_uncertainty_score":0.998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757024971518789,"score_gpt":0.2878300242243082,"score_spread":0.2702597745091203,"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."}}