{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780557,0.0002239353,0.0001760342,0.00001286521,0.00008620726,0.00002205852,0.000243265,0.00022834,0.0001265836],"category_scores_gemma":[0.00007383905,0.0002175576,0.000188237,0.00005481654,0.0001118054,0.000007950192,0.00008466538,0.00006966205,0.00002801195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221366,"about_ca_system_score_gemma":0.00005360207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118655,"about_ca_topic_score_gemma":0.000001186357,"domain_scores_codex":[0.9987941,0.00001600052,0.0002412579,0.0003819874,0.00009091318,0.0004757369],"domain_scores_gemma":[0.9991387,0.00001353797,0.00008458566,0.0004854931,0.00008270924,0.0001950034],"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":[0.0001207236,0.0001620777,0.005163122,0.00008574798,0.00008696838,3.239988e-7,0.00003051835,9.367912e-7,0.9913993,0.000009914937,0.002283719,0.0006565699],"study_design_scores_gemma":[0.0007750771,0.00008971163,0.0005356381,0.00001089005,0.00004675156,0.00001650616,0.00009575447,0.000006931233,0.9725496,0.00002434874,0.02556318,0.0002856367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946476,0.00222176,0.0003142722,0.00006723853,0.0002226491,0.0002601336,0.00009511474,0.0000289141,0.002142361],"genre_scores_gemma":[0.9962649,0.0000851419,0.0005835694,0.0002598551,0.0009348462,0.0001079197,0.0003549113,0.00002932548,0.001379533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327947,"threshold_uncertainty_score":0.8871742,"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."}}