{"id":"W1989579925","doi":"10.1016/j.semcdb.2008.12.008","title":"Biomimetic approach to tissue engineering","year":2008,"lang":"en","type":"review","venue":"Seminars in Cell and Developmental Biology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Tissue engineering; Biology; Regenerative medicine; Context (archaeology); Cartilage; Stem cell; Regeneration (biology); Cell biology; Computational biology; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001008373,0.0004143288,0.001408346,0.0005291577,0.0000333486,0.000003960044,0.00009229768,0.0003545416,0.00001581152],"category_scores_gemma":[0.00005312385,0.0002995784,0.00006624677,0.000417519,0.000073496,0.000009531827,0.0001056651,0.000360923,0.00006239967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673136,"about_ca_system_score_gemma":0.0001501317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008793665,"about_ca_topic_score_gemma":3.166375e-7,"domain_scores_codex":[0.9986293,0.00003028067,0.0004268252,0.0004896416,0.00007563253,0.0003483004],"domain_scores_gemma":[0.9995129,0.00009141137,0.00004589151,0.0001280411,0.00001190106,0.0002099112],"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":[0.000007600323,0.0001222155,0.00006427177,0.007635968,0.0000741464,0.0001682458,0.0006154327,0.000003781747,0.0009523357,0.00004774192,0.001831026,0.9884772],"study_design_scores_gemma":[0.0003132634,0.000188217,0.00001440752,0.004659909,0.00005723376,0.002016736,0.00004819734,0.000009408646,0.0003340758,5.508842e-7,0.9920316,0.0003264378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004042891,0.9966269,0.0003423948,0.00001385827,0.0003225501,0.0006211607,0.000008703314,0.00004602047,0.001614166],"genre_scores_gemma":[0.0001072585,0.9645541,0.02984,0.00002134515,0.0001493259,0.0001074022,0.0002300736,0.00004517767,0.004945292],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9902005,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579736817896709,"score_gpt":0.2896706355571137,"score_spread":0.2638732673781466,"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."}}