{"id":"W4416832722","doi":"10.1017/9781108882026.015","title":"Tissue Engineering","year":2025,"lang":"","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Tissue engineering; Biocompatibility; Ideal (ethics); Natural (archaeology); Biocompatible material","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":[0.0006464611,0.0008386256,0.0006355431,0.001304039,0.000755263,0.003135885,0.00104141,0.001229923,0.1378959],"category_scores_gemma":[0.001031123,0.0004379836,0.0006481502,0.00116066,0.0006871661,0.001881956,0.001308567,0.002226112,0.1101796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009990833,"about_ca_system_score_gemma":0.00119418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141464,"about_ca_topic_score_gemma":0.002585399,"domain_scores_codex":[0.9993418,0.00004897173,0.00005314665,0.0001296366,0.0003834468,0.00004302753],"domain_scores_gemma":[0.9995726,0.00005057805,0.00002699127,0.00005450297,0.0002517038,0.00004362147],"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":[0.00006616463,0.00005949313,0.0001783701,0.001158005,0.00002069377,0.0004199664,0.0002378184,0.0007692983,0.02420943,0.028659,0.4260165,0.5182052],"study_design_scores_gemma":[0.00000281036,0.00001670326,0.0001104311,0.0001265406,0.000004501177,0.0004561845,0.00002727974,0.00008968438,0.002077383,0.001541823,0.9955401,0.000006451747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003591292,0.1207655,0.05117651,0.008100869,0.02999909,0.0002750547,0.005055873,0.002274754,0.7787611],"genre_scores_gemma":[0.01041434,0.03117699,0.01711699,0.003240361,0.001063661,0.000178555,0.003489072,0.0005811699,0.9327388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1378959,"threshold_uncertainty_score":0.4613077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116389284246865,"score_gpt":0.1979550716371827,"score_spread":0.1863161432124962,"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."}}