{"id":"W2113018052","doi":"10.5539/ijc.v6n2p1","title":"In vitro and in vivo Evaluation of Hemocompatibility of Silk Fibroin Based Artificial Vascular Grafts","year":2014,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tokyo University of Agriculture and Technology; Tokyo University of Agriculture; Ministry of Agriculture, Forestry and Fisheries","keywords":"Fibroin; Thrombogenicity; In vivo; Chemistry; Biocompatibility; Fibrin; Platelet; Biomedical engineering; In vitro; Intimal hyperplasia; Vascular graft; Platelet activation; Platelet adhesiveness; Immunology; SILK; Materials science; Medicine; Internal medicine; Biochemistry; Platelet aggregation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001874778,0.00006701172,0.0001973098,0.00007186889,0.000007671864,0.00001688752,0.0002097906,0.00004771037,0.0003470254],"category_scores_gemma":[0.0003066241,0.00006121842,0.00005486018,0.00007776497,0.00007647262,0.00009778334,0.00002495465,0.00004502229,5.979907e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006824874,"about_ca_system_score_gemma":0.0001131373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005035074,"about_ca_topic_score_gemma":0.000007780777,"domain_scores_codex":[0.998502,0.00008560751,0.0006449703,0.0001127701,0.0005853034,0.00006932719],"domain_scores_gemma":[0.9988481,0.0000970769,0.0004587467,0.0001122961,0.0004518734,0.00003184052],"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":[0.0001842855,0.0001689254,0.001159862,0.00003645273,0.000005849962,8.520827e-7,0.00003213648,0.0008525639,0.9970258,0.00001298964,0.00001374064,0.0005065278],"study_design_scores_gemma":[0.0008555847,0.00001397586,0.005224377,0.00008052634,0.00001301935,0.000005553873,0.00002168201,0.004453135,0.9873589,0.001901038,0.00002307924,0.00004912994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991205,0.00003457882,0.0002871521,0.0002775458,0.0001084616,0.00006496387,0.00003421966,0.00000175638,0.00007084687],"genre_scores_gemma":[0.998715,0.000001670591,0.001155705,0.00002128647,0.00009242563,0.000004384718,0.000004568397,0.000003649307,0.000001295048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009666916,"threshold_uncertainty_score":0.3799684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773067655267156,"score_gpt":0.2941262992317673,"score_spread":0.2763956226790957,"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."}}