{"id":"W2624508213","doi":"10.1371/journal.pone.0177628","title":"3D bioprinting of methacrylated hyaluronic acid (MeHA) hydrogel with intrinsic osteogenicity","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":351,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dutch Arthritis Association; Newfoundland and Labrador","keywords":"Self-healing hydrogels; Hyaluronic acid; 3D bioprinting; Biomedical engineering; Extracellular matrix; Regenerative medicine; Biophysics; Chemistry; Materials science; Tissue engineering; Cell encapsulation; Mesenchymal stem cell; Anatomy; Cell biology; Biochemistry; Polymer chemistry; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001196817,0.0002442454,0.0001109084,0.0001312818,0.00009487617,0.0001691343,0.0001107316,0.0002616699,0.0005458932],"category_scores_gemma":[0.0001162014,0.000153167,0.0002277836,0.00009694719,0.0001136513,0.0001606999,0.0001772516,0.00022637,0.0001876165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257839,"about_ca_system_score_gemma":0.00009446054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241978,"about_ca_topic_score_gemma":0.0006140531,"domain_scores_codex":[0.9999211,0.00000882515,0.000007178129,0.00001711596,0.00003228805,0.00001347276],"domain_scores_gemma":[0.9999185,0.000025733,0.00002777965,0.000007396496,0.000007926416,0.00001273272],"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":[0.000005835441,0.000003767594,0.00002284585,0.00001639283,0.000001026954,0.00001620563,0.000004747231,0.00006304483,0.999221,0.00001924674,0.000004491387,0.0006213821],"study_design_scores_gemma":[0.000002195796,0.00004567584,0.000661169,0.000002047133,0.000004231019,0.00008598329,0.000003419936,0.0007775989,0.9977664,0.00001377908,0.0006342527,0.000003242516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871219,0.001821751,0.009540911,0.0000484289,0.00003837638,0.00002610294,0.0001052089,0.00007262839,0.001224736],"genre_scores_gemma":[0.9842492,0.0007355003,0.01283306,0.00003414979,0.00001409818,0.00002964018,0.00007787729,0.00002528083,0.002001243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005458932,"threshold_uncertainty_score":0.001826167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585465090443923,"score_gpt":0.2500907359231556,"score_spread":0.2042360850187164,"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."}}