{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007390157,0.0008376585,0.0006231088,0.001061651,0.0008224808,0.003454339,0.0008187536,0.001182276,0.01490398],"category_scores_gemma":[0.001133706,0.0003374471,0.0005371353,0.0005884736,0.001630386,0.002655775,0.002822335,0.001348132,0.006394262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007797331,"about_ca_system_score_gemma":0.0006392767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000237405,"about_ca_topic_score_gemma":0.0005336908,"domain_scores_codex":[0.9993871,0.0001050649,0.00004496504,0.0001071991,0.0002981519,0.00005751818],"domain_scores_gemma":[0.9996613,0.00009541726,0.00003958782,0.00006511461,0.00008676455,0.00005186639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002217714,0.00004068907,0.0004101713,0.001809403,0.00005613677,0.0006298372,0.0005233684,0.00521104,0.02708465,0.5118117,0.06236918,0.3900316],"study_design_scores_gemma":[0.000005568562,0.00003925533,0.0001267782,0.0002795537,0.00001241073,0.0008645358,0.0001202406,0.001641926,0.004266984,0.05806145,0.9345598,0.00002146011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01390567,0.2678772,0.3466894,0.01334204,0.01597397,0.0002921776,0.0005582065,0.001662687,0.3396985],"genre_scores_gemma":[0.1889943,0.3052726,0.2391247,0.008705456,0.006385388,0.0008882905,0.001549162,0.0008058673,0.2482742],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01490398,"threshold_uncertainty_score":0.04985881,"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."}}