{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003277991,0.0002653823,0.0004446227,0.0001057496,0.0001383754,0.0001085842,0.0001601685,0.00009333176,0.000718492],"category_scores_gemma":[0.000007427522,0.0001664608,0.00006179346,0.00008507226,0.0002939754,0.0002397841,0.00005014719,0.00001547734,0.0000186704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003046619,"about_ca_system_score_gemma":0.00005387632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328897,"about_ca_topic_score_gemma":0.0002054685,"domain_scores_codex":[0.9984092,0.00009487172,0.0005095867,0.0004271133,0.0001928313,0.0003663564],"domain_scores_gemma":[0.9991995,0.00005422989,0.0002223145,0.0003709468,0.00007568411,0.00007731045],"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":[0.0003722245,0.000425252,0.001343475,0.0001001132,0.00002681957,0.000001011938,0.0003076318,0.00003639021,0.9972619,0.00003709382,0.00001767838,0.0000704096],"study_design_scores_gemma":[0.002324512,0.0001677995,0.005283956,0.00005590516,0.00006259541,0.00001715372,0.00009506673,0.0001153374,0.9914462,0.00001534452,0.0001800828,0.0002360205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979875,0.0001579364,0.0002148526,0.0001543132,0.0006634405,0.000336601,0.0001337588,0.000085036,0.0002665517],"genre_scores_gemma":[0.998921,0.000001909228,0.0007029914,0.00004352752,0.00009425075,0.00003047369,0.00008642374,0.00002978805,0.00008968586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005815674,"threshold_uncertainty_score":0.7866983,"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."}}