{"id":"W4382197409","doi":"10.1016/j.bioactmat.2023.06.006","title":"Biomaterials / bioinks and extrusion bioprinting","year":2023,"lang":"en","type":"review","venue":"Bioactive Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Biomaterial; 3D bioprinting; Tissue engineering; Extrusion; Materials science; Nanotechnology; Process (computing); Biomedical engineering; Computer science; 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":[0.0006223216,0.001109881,0.001018857,0.002998838,0.0002934881,0.001062054,0.0005162164,0.001099627,0.003473164],"category_scores_gemma":[0.000510894,0.0003729421,0.0005219511,0.002176561,0.0005055366,0.001335087,0.0006434267,0.001234315,0.002268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677958,"about_ca_system_score_gemma":0.0006872952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006076466,"about_ca_topic_score_gemma":0.0009746806,"domain_scores_codex":[0.9995983,0.00004376101,0.00004869088,0.00007466267,0.0002015777,0.00003285403],"domain_scores_gemma":[0.9998094,0.00009073949,0.00004398022,0.000008125396,0.0000373523,0.00001042538],"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":[0.00004985317,0.0001077198,0.0001676777,0.02938016,0.00006007978,0.0003425511,0.0001039121,0.0005193138,0.03243421,0.009960928,0.01022437,0.9166493],"study_design_scores_gemma":[0.000008426324,0.0001226621,0.0006535971,0.00306804,0.00005921085,0.001608329,0.00005927939,0.0001509828,0.01546411,0.001587286,0.9771917,0.00002625209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005234558,0.9945391,0.0007261204,0.0001275806,0.0003399129,0.00001563232,0.00002336159,0.00002196532,0.00368288],"genre_scores_gemma":[0.002428865,0.9930801,0.001088753,0.0001926375,0.0001716423,0.00002131977,0.0000452255,0.000007733232,0.002963747],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003473164,"threshold_uncertainty_score":0.01161891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210656634953717,"score_gpt":0.3736003951626786,"score_spread":0.2525347316673069,"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."}}