{"id":"W1984123315","doi":"10.1016/j.biomaterials.2012.09.007","title":"Influence of architecture of high molecular weight linear and branched polyglycerols on their biocompatibility and biodistribution","year":2012,"lang":"en","type":"article","venue":"Biomaterials","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"UC Davis College of Biological Sciences; Canadian Institutes of Health Research; Michael Smith Health Research BC; Canada Foundation for Innovation","keywords":"Biodistribution; Hemolysis; Materials science; Biocompatibility; PEG ratio; Polymer; Drug delivery; Polyethylene glycol; Biomedical engineering; Blood circulation; Biophysics; Chemistry; Nanotechnology; Biochemistry; In vitro; Composite material; Medicine; Immunology","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":[0.0004163934,0.0001704143,0.0003988144,0.00006811495,0.0000447227,0.0000186337,0.000111513,0.0001058389,0.00007282542],"category_scores_gemma":[0.00004788933,0.0001250413,0.00003576756,0.00009283939,0.0003542492,0.0001109654,0.00007356236,0.0000128286,0.000006553253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009130538,"about_ca_system_score_gemma":0.00001621714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002165652,"about_ca_topic_score_gemma":0.000001786506,"domain_scores_codex":[0.9988722,0.000139619,0.0003659467,0.0002302349,0.0001466341,0.0002453637],"domain_scores_gemma":[0.9992918,0.00005572529,0.00022502,0.0002806814,0.00004152275,0.0001052968],"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":[0.0001854709,0.00007052284,0.002908219,0.0001246737,0.00001367674,4.225429e-7,0.0003004496,0.000007817044,0.9954626,0.000409655,0.000004356141,0.0005121244],"study_design_scores_gemma":[0.0003902266,0.0001113744,0.08809786,0.00004817306,0.00002037431,0.000006256466,0.00001088328,0.000001411552,0.9109104,0.0001914733,0.00009648598,0.0001150782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980096,0.0007030529,0.00004990639,0.00007128603,0.0001953192,0.0002270147,0.0006952186,0.00002552071,0.00002305235],"genre_scores_gemma":[0.9993619,0.00001773982,0.000487905,0.00003799781,0.00005264594,0.000006855816,0.00002304734,0.000009783771,0.000002096473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08518964,"threshold_uncertainty_score":0.5099036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008443264231650028,"score_gpt":0.2320841774418346,"score_spread":0.2236409132101846,"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."}}