{"id":"W3135426067","doi":"10.1016/j.actbio.2021.03.016","title":"Biofabrication and bioprinting using cellular aggregates, microtissues and organoids for the engineering of musculoskeletal tissues","year":2021,"lang":"en","type":"review","venue":"Acta Biomaterialia","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"European Research Council; European Regional Development Fund; Science Foundation Ireland","keywords":"Biofabrication; Organoid; Tissue engineering; 3D bioprinting; Biomedical engineering; Materials science; Nanotechnology; Cell biology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006756275,0.0003915017,0.0003511598,0.0005430826,0.0002362462,0.0008762464,0.0003125258,0.0009743747,0.001444997],"category_scores_gemma":[0.0004551876,0.0001693344,0.0003146164,0.0005063586,0.0006204906,0.000837023,0.0006926734,0.001066671,0.0008177247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004715716,"about_ca_system_score_gemma":0.0003533665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002537508,"about_ca_topic_score_gemma":0.0005198625,"domain_scores_codex":[0.9996938,0.00004897609,0.00003104944,0.00006316399,0.0001323871,0.0000306268],"domain_scores_gemma":[0.9997684,0.0001195751,0.00004789942,0.00001548547,0.00003581945,0.00001270789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007200006,0.00005349243,0.0004072,0.006690443,0.00003512595,0.0006223571,0.0006483523,0.001799638,0.7966886,0.02543156,0.00342416,0.1641272],"study_design_scores_gemma":[0.00001132493,0.0003998423,0.001860089,0.0008729399,0.00006795543,0.003185624,0.0003691149,0.002248268,0.497825,0.006052298,0.4870472,0.00006031384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06711683,0.7841997,0.1153746,0.003481066,0.00263381,0.0001880917,0.0002127818,0.0003791821,0.02641403],"genre_scores_gemma":[0.2923487,0.6211148,0.06231726,0.001615722,0.001158396,0.0002367262,0.0003335768,0.0001820955,0.02069281],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001444997,"threshold_uncertainty_score":0.004833996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371728128872432,"score_gpt":0.3294982798151344,"score_spread":0.2923254669278912,"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."}}