{"id":"W2329020551","doi":"10.1021/bc3000723","title":"Hyperbranched Glycopolymers for Blood Biocompatibility","year":2012,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Alberta Glycomics Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Centre for Blood Research, University of British Columbia; Michael Smith Health Research BC; Canadian Blood Services","keywords":"Biocompatibility; Chemistry; Hemolysis; Cytotoxicity; Glycopolymer; In vitro; Gene delivery; Drug carrier; In vivo; Drug delivery; Biophysics; Polymer; Nanotechnology; Polymerization; Biochemistry; Genetic enhancement; Organic chemistry; Immunology; Materials science; Biotechnology","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":[0.0002251122,0.0004281015,0.0001286484,0.0002791401,0.0001066706,0.0002246236,0.0001268387,0.0002450555,0.0009672767],"category_scores_gemma":[0.0002831541,0.000119386,0.0001965687,0.0002880797,0.0001395759,0.0002901946,0.0001503371,0.0004002179,0.0003274516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456232,"about_ca_system_score_gemma":0.0001599865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168021,"about_ca_topic_score_gemma":0.0003412061,"domain_scores_codex":[0.9998635,0.00002790041,0.00001141413,0.00001888785,0.00006054994,0.00001767048],"domain_scores_gemma":[0.9998099,0.00004613197,0.00007848471,0.00001789395,0.00002634244,0.00002119727],"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":[0.00002073729,0.000006318752,0.00003417039,0.00002803618,0.000002063395,0.00002861994,0.000005779493,0.0001353623,0.9969423,0.0001224177,0.00001850008,0.002655654],"study_design_scores_gemma":[0.000004190434,0.0001114204,0.0009305759,0.000004813492,0.00001060806,0.0001601824,0.000003163649,0.0005517323,0.9957267,0.00008598185,0.002405723,0.000004948559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940984,0.01305872,0.04083364,0.0002409959,0.00006297076,0.0001321574,0.0002771218,0.0001680008,0.004242395],"genre_scores_gemma":[0.9674296,0.005635936,0.02271565,0.00007306928,0.00002222121,0.00004666006,0.0003197866,0.00004767723,0.003709383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009672767,"threshold_uncertainty_score":0.003235817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566862807232759,"score_gpt":0.2573077522906038,"score_spread":0.2416391242182762,"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."}}