{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001727619,0.0002193034,0.0002702283,0.00007390887,0.00006549014,0.00007134978,0.0003074575,0.0000965252,0.00005372495],"category_scores_gemma":[0.0001883681,0.0001787574,0.00003590785,0.0004274262,0.00006380425,0.0001445226,0.00005936448,0.0001319677,0.0002913742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008465057,"about_ca_system_score_gemma":0.00005558414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179866,"about_ca_topic_score_gemma":0.000002571458,"domain_scores_codex":[0.9983812,0.00006285097,0.0002886799,0.0003086556,0.0004355776,0.0005230405],"domain_scores_gemma":[0.999144,0.0002035578,0.00004719845,0.0002117002,0.0000654995,0.0003280152],"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":[0.0001516635,0.00001105357,0.0001056608,0.0004878742,0.00007815508,0.00008805418,0.0001957414,0.02945787,0.9656476,0.00005459612,0.0001703615,0.003551414],"study_design_scores_gemma":[0.001545418,0.0006488276,0.00012722,0.0005058068,0.00002447444,0.00003000155,0.00005143667,0.1148736,0.875535,0.0000197046,0.006069391,0.0005691384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5056452,0.0005547095,0.4850416,0.0005597364,0.001714667,0.00165465,0.0000424892,0.002482397,0.002304491],"genre_scores_gemma":[0.9871504,0.00002107938,0.01228238,0.00005189961,0.0003520062,0.00005078495,0.000008601733,0.00006926811,0.00001362475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4815052,"threshold_uncertainty_score":0.7289515,"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."}}