{"id":"W4393305868","doi":"10.1007/s44174-024-00171-7","title":"Heterogeneous and Composite Bioinks for 3D-Bioprinting of Complex Tissue","year":2024,"lang":"en","type":"review","venue":"Biomedical Materials & Devices","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"3D bioprinting; Scaffold; Nanotechnology; Composite number; Structural integrity; Materials science; Regenerative medicine; Computer science; Biochemical engineering; Biomedical engineering; Tissue engineering; Engineering; Chemistry; 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":[0.0009383812,0.0005661734,0.002139604,0.0004669968,0.00006307167,0.0002110994,0.0006221206,0.0007003973,0.0003008341],"category_scores_gemma":[0.0001548867,0.0004279624,0.0001928439,0.0003867203,0.0004912655,0.00004128828,0.0005282489,0.0002887303,0.0001492227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006672084,"about_ca_system_score_gemma":0.00007152731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002884825,"about_ca_topic_score_gemma":0.000001832466,"domain_scores_codex":[0.9967582,0.0001149364,0.001398368,0.0005644729,0.0005303993,0.0006336539],"domain_scores_gemma":[0.9984774,0.000570335,0.000200633,0.0003688309,0.00006243399,0.0003203414],"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":[0.000004067692,0.00002453283,2.640519e-7,0.1836903,0.0003766464,0.00002477036,0.00002597588,1.464468e-7,0.009543098,0.00004186839,0.0008828296,0.8053855],"study_design_scores_gemma":[0.0001229693,0.00008444291,0.000002997575,0.01451451,0.0005472542,0.00007836609,0.000003146894,0.0002100414,0.001698771,0.00004505694,0.9823012,0.0003912899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006951881,0.9949145,0.0004056073,0.00005282098,0.001461841,0.001061314,0.0009718224,0.0003554512,0.00008144701],"genre_scores_gemma":[0.001089706,0.9860917,0.01103177,0.00002153522,0.0007932092,0.0002027909,0.0005495381,0.0001808617,0.00003888346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9814183,"threshold_uncertainty_score":0.9998172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06325670072579083,"score_gpt":0.3740192259408008,"score_spread":0.31076252521501,"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."}}