{"id":"W3024747708","doi":"10.1002/adfm.202003440","title":"Multifunctional 3D‐Printed Patches for Long‐Term Drug Release Therapies after Myocardial Infarction","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Business Finland; Sigrid Juséliuksen Säätiö; Helsinki Institute of Life Science, Helsingin Yliopisto; Sydäntutkimussäätiö; Aalto-Yliopisto; European Commission; Helsingin Yliopisto; Academy of Finland; Tekniikan Edistämissäätiö; Foundation for Cardiovascular Research","keywords":"Biocompatibility; Materials science; Biomaterial; Biomedical engineering; Myocardial infarction; Drug delivery; Nanotechnology; Cardiology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009205707,0.0002450244,0.0001942369,0.0001562202,0.00006368675,0.0001931376,0.000154391,0.0003284339,0.0005898873],"category_scores_gemma":[0.00008220512,0.0001057131,0.0001795608,0.00006938726,0.00009827112,0.0001696262,0.0001219551,0.0002172298,0.0002259717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028723,"about_ca_system_score_gemma":0.00005739975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000933241,"about_ca_topic_score_gemma":0.0001926583,"domain_scores_codex":[0.999948,0.00000661293,0.000004000073,0.00001454598,0.00001616593,0.00001059953],"domain_scores_gemma":[0.9999481,0.00001065571,0.00001943343,0.000005881073,0.000006339127,0.00000956976],"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":[0.00002232996,0.00001014053,0.00002289334,0.00002254128,0.000001945904,0.00003551208,0.000003912837,0.00007876047,0.9983481,0.0000172726,0.00001522885,0.001421434],"study_design_scores_gemma":[0.00001272044,0.0002093891,0.00136092,0.000004625175,0.00001517012,0.0001614584,0.000006351511,0.001254269,0.9955735,0.00001586586,0.001381003,0.000004697258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796495,0.002593072,0.01554399,0.00008308041,0.0001056985,0.00006117407,0.0001811368,0.0002547136,0.001527594],"genre_scores_gemma":[0.9873548,0.0008480412,0.009994192,0.00004926818,0.00002319549,0.00004572895,0.00008817968,0.00002697589,0.001569702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005898873,"threshold_uncertainty_score":0.001973331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279021482095878,"score_gpt":0.2423733202220577,"score_spread":0.2295831054010989,"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."}}