{"id":"W3036041391","doi":"10.1002/adbi.202000046","title":"Elastic Biomaterial Scaffold with Spatially Varying Adhesive Design","year":2020,"lang":"en","type":"article","venue":"Advanced Biosystems","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institutes of Health; Canadian Institutes of Health Research; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada; Killam Trusts; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomaterial; Adhesive; Adhesion; Tissue engineering; Materials science; Scaffold; Polymer; Biomedical engineering; Regeneration (biology); Nanotechnology; Self-healing hydrogels; Composite material; Polymer chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063996,0.0004065929,0.0001388355,0.000402337,0.0001209148,0.0002774429,0.0002270843,0.0003909898,0.0009427444],"category_scores_gemma":[0.0001249772,0.0001658932,0.000149535,0.0002608519,0.0001139153,0.0002833993,0.0002026814,0.0002471181,0.0003957689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011295,"about_ca_system_score_gemma":0.0001371908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115336,"about_ca_topic_score_gemma":0.00039695,"domain_scores_codex":[0.9999151,0.000008506549,0.000009751301,0.0000275097,0.00002322249,0.00001587735],"domain_scores_gemma":[0.9999056,0.00001355171,0.00004335828,0.0000112179,0.00001127074,0.00001497115],"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":[0.00001886718,0.00001852572,0.00006323805,0.00005878486,0.000002850744,0.00004076858,0.00000784855,0.0003856016,0.9963394,0.0001754802,0.00003744569,0.002851078],"study_design_scores_gemma":[0.00001237266,0.0002002186,0.001015715,0.00000848039,0.00001706228,0.000218617,0.00001180651,0.002092693,0.9904739,0.00009303627,0.005845651,0.0000103702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454435,0.003184466,0.04163432,0.0001601598,0.0001346368,0.0001204659,0.0005135295,0.0003723504,0.008436584],"genre_scores_gemma":[0.9538183,0.001584873,0.03901637,0.0001046683,0.0000307184,0.000190759,0.0003212227,0.00004993378,0.004883127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009427444,"threshold_uncertainty_score":0.003153741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357204513524325,"score_gpt":0.2339384366145791,"score_spread":0.2103663914793358,"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."}}