{"id":"W2030077110","doi":"10.1089/ten.2004.10.1046","title":"Assessing Porcine Liver-Derived Biomatrix for Hepatic Tissue Engineering","year":2004,"lang":"en","type":"article","venue":"Tissue Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Decellularization; Tissue engineering; Hepatocyte; Scaffold; Chemistry; Biomedical engineering; Connective tissue; Bioartificial liver device; Regeneration (biology); Collagenase; In vitro; Cell biology; Pathology; Biochemistry; Medicine; 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":[0.000472975,0.0002852249,0.0001118261,0.0002767805,0.0001362203,0.0002503087,0.000092343,0.0002660232,0.001407413],"category_scores_gemma":[0.0003783565,0.000091745,0.000157598,0.000141983,0.0001719299,0.0002628764,0.0001730654,0.0001815527,0.0003874985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442392,"about_ca_system_score_gemma":0.0001842162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002745798,"about_ca_topic_score_gemma":0.0005855436,"domain_scores_codex":[0.9998384,0.00004673124,0.00001794523,0.0000235347,0.00004668786,0.000026682],"domain_scores_gemma":[0.9997606,0.00009279753,0.00004834451,0.00002261177,0.00004398427,0.00003167437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002337987,0.00001062659,0.0002123783,0.00003591644,0.000001411576,0.00002873164,0.000009702983,0.00005017185,0.9982738,0.0000297739,0.000007486038,0.001316611],"study_design_scores_gemma":[0.000002977532,0.0003909464,0.002645263,0.000008526604,0.00001002836,0.0001740465,0.00003195448,0.0004836083,0.9940535,0.00003196969,0.002164046,0.000003175324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745029,0.003557015,0.0175326,0.0001067188,0.0000610495,0.00009044742,0.0001609101,0.00005853954,0.003929751],"genre_scores_gemma":[0.9788033,0.001319925,0.01638427,0.00007266387,0.00001423195,0.00007717139,0.0003946628,0.00002568956,0.002908089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407413,"threshold_uncertainty_score":0.00470829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212047823977412,"score_gpt":0.2922939707412578,"score_spread":0.2710891883435166,"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."}}