{"id":"W3132406026","doi":"10.3390/bioengineering8020027","title":"Natural Biomaterials and Their Use as Bioinks for Printing Tissues","year":2021,"lang":"en","type":"review","venue":"Bioengineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alzheimer's Association","keywords":"Tissue engineering; Materials science; Decellularization; Scaffold; Gellan gum; Gelatin; Biocompatibility; Natural polymers; Nanotechnology; Biomedical engineering; Chemistry; Polymer; Engineering; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004524081,0.0006207641,0.00145356,0.0003788144,0.00007082085,0.0004238387,0.0003576835,0.0004655458,0.00003016362],"category_scores_gemma":[0.0008033765,0.0005075507,0.0003039721,0.0003868886,0.00006644747,0.0001377284,0.000314358,0.0003140134,0.00002679835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223834,"about_ca_system_score_gemma":0.00006272683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185688,"about_ca_topic_score_gemma":8.599093e-7,"domain_scores_codex":[0.9979256,0.00004270522,0.0006373074,0.000492655,0.0001946795,0.000707043],"domain_scores_gemma":[0.9984555,0.0007746794,0.00006944535,0.0004271496,0.00006887728,0.0002043724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.234931e-7,0.000006013673,6.86407e-7,0.02988373,0.0003136042,0.00001411142,0.00005155458,0.00001222702,0.001727162,0.0001412935,0.0002326151,0.9676163],"study_design_scores_gemma":[0.00009062186,0.00001614111,0.000002020554,0.01098454,0.00007256769,0.00008019705,0.00001222647,0.002477024,0.001980869,0.000005657102,0.9837309,0.0005472672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005223703,0.9941179,0.002225877,0.000008583732,0.001513942,0.0007753559,0.00008163837,0.0007186261,0.00003571774],"genre_scores_gemma":[0.0003738455,0.9912211,0.007101663,0.000004126046,0.0005360052,0.0002058946,0.0001607397,0.0002366316,0.0001599892],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9834983,"threshold_uncertainty_score":0.9997376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513431320946529,"score_gpt":0.3448180057155493,"score_spread":0.279683692506084,"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."}}