{"id":"W1988864059","doi":"10.1016/j.biomaterials.2006.06.021","title":"Blood compatibility of novel water soluble hyperbranched polyglycerol-based multivalent cationic polymers and their interaction with DNA","year":2006,"lang":"en","type":"article","venue":"Biomaterials","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":249,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"UC Davis College of Biological Sciences; Canadian Institutes of Health Research; Department of Science and Technology, Ministry of Science and Technology, India; Canada Foundation for Innovation; Canadian Blood Services","keywords":"Cationic polymerization; Compatibility (geochemistry); Materials science; Polymer; DNA; Polymer chemistry; Chemical engineering; Polymer science; Composite material; Chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002781169,0.0003238771,0.0001391393,0.0002011575,0.0001245544,0.0003065115,0.000186524,0.0003051577,0.0006400449],"category_scores_gemma":[0.0003294217,0.0001494326,0.0001260043,0.0001342325,0.0001940284,0.0002980283,0.0001814219,0.0002065436,0.0001451432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668704,"about_ca_system_score_gemma":0.0001638803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003085857,"about_ca_topic_score_gemma":0.0003284296,"domain_scores_codex":[0.9998846,0.00003425365,0.000007431597,0.00002487632,0.00002037547,0.00002847201],"domain_scores_gemma":[0.9998236,0.00006846182,0.00004584498,0.000009628802,0.0000196928,0.00003279456],"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":[0.0001469637,0.00001159217,0.00007188952,0.00002656206,0.00000343492,0.00003071632,0.00001779784,0.00005286034,0.9984642,0.0001264026,0.00001861125,0.001028904],"study_design_scores_gemma":[0.000009668456,0.00011643,0.0004101469,0.000002133751,0.000009371999,0.00007088407,0.000005110651,0.000355539,0.9981626,0.00001964636,0.0008356558,0.000002831612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941891,0.001887796,0.003053735,0.00004936719,0.00001668841,0.00001751063,0.00003695712,0.0000249684,0.0007237291],"genre_scores_gemma":[0.9956281,0.0007851374,0.002102429,0.00004347693,0.00001095389,0.00001863273,0.00006572001,0.00001445337,0.001331135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006400449,"threshold_uncertainty_score":0.002141118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566791452650669,"score_gpt":0.2285153881293052,"score_spread":0.2128474736027985,"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."}}