{"id":"W2787882338","doi":"10.1039/c7ra13438j","title":"Surface-grafted polyethylene glycol conformation impacts the transport of PEG-functionalized liposomes through a tumour extracellular matrix model","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Calgary; Alberta Innovates; Alberta Innovates - Technology Futures; California HIV/AIDS Research Program","keywords":"Polyethylene glycol; PEG ratio; Liposome; Extracellular matrix; Biophysics; Chemistry; Chemical engineering; Matrix (chemical analysis); Surface modification; Surface (topology); Polymer chemistry; Combinatorial chemistry; Materials science; Organic chemistry; Biochemistry; Chromatography; Physical chemistry; Biology; Geometry","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":[0.0005654026,0.0002274608,0.0003190238,0.0000458744,0.0002441933,0.00003072347,0.0003415029,0.00006238422,0.0006238151],"category_scores_gemma":[0.00006237539,0.0001607589,0.0001114516,0.0003223551,0.0004199298,0.001455887,0.00003389297,0.00009438598,0.0001877368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006507292,"about_ca_system_score_gemma":0.0002128131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779821,"about_ca_topic_score_gemma":0.00009874535,"domain_scores_codex":[0.9979717,0.000100234,0.0006094541,0.0002912621,0.0006172649,0.0004101197],"domain_scores_gemma":[0.9986715,0.0001701991,0.000372305,0.0003838195,0.0003175266,0.00008462],"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":[0.0005344337,0.00009397917,0.0002319623,0.0000679545,0.00001342511,0.000002993488,0.001505213,0.02074953,0.9749855,0.001485607,0.0001958781,0.0001335622],"study_design_scores_gemma":[0.001079291,0.0001506318,0.0003482409,0.00006131348,0.00006067002,0.00001118451,0.0004716395,0.01613346,0.9761139,0.002471117,0.002871255,0.0002272732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790947,0.007109358,0.01182497,0.0005295792,0.0003803209,0.0004968698,0.000122556,0.0001310925,0.0003105691],"genre_scores_gemma":[0.9922961,0.0002498606,0.006444253,0.0001006914,0.0001162636,0.00002498573,0.00001946736,0.00002318272,0.0007251733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320143,"threshold_uncertainty_score":0.6830337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647604481392103,"score_gpt":0.274269329108647,"score_spread":0.257793284294726,"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."}}