{"id":"W2013632655","doi":"10.1089/ten.2006.12.3307","title":"Engineering Complex Tissues","year":2006,"lang":"en","type":"review","venue":"Tissue Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":599,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Tissue engineering; Computer science; Biomedical engineering; Engineering; Systems engineering","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":[0.0002111629,0.001123749,0.003332137,0.0007963542,0.00006070011,0.00004840401,0.0002719466,0.0005406855,0.0004105276],"category_scores_gemma":[0.000116382,0.0009580311,0.0004608767,0.0007664034,0.00004119258,0.00006478708,0.00009609294,0.001078195,0.0005167261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202501,"about_ca_system_score_gemma":0.00009480706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003315699,"about_ca_topic_score_gemma":5.081797e-7,"domain_scores_codex":[0.9970171,0.00002567438,0.0009494273,0.0007243567,0.0004754844,0.0008079658],"domain_scores_gemma":[0.9985917,0.0001600003,0.0001582487,0.0006307442,0.00006830565,0.0003910286],"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":[0.000004260691,0.0001295351,0.000001537626,0.08199295,0.001096091,0.002035849,0.00008269305,0.006656405,0.0007786666,0.001099093,0.01173902,0.8943839],"study_design_scores_gemma":[0.0003757385,0.0001192446,0.00001331369,0.01663801,0.001484959,0.001598303,0.00000206519,0.00198397,0.00006619498,2.996229e-7,0.9768988,0.0008190274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004546024,0.9885552,0.007857807,0.00003248786,0.0009641736,0.0009917074,0.00004876162,0.001066233,0.0004791038],"genre_scores_gemma":[0.00003358729,0.9599047,0.0119538,0.000005049047,0.003534677,0.0001703043,0.0009079148,0.0004550933,0.0230349],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9651598,"threshold_uncertainty_score":0.999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0545724411323328,"score_gpt":0.3376386917501366,"score_spread":0.2830662506178038,"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."}}