{"id":"W2511222844","doi":"10.1021/acssuschemeng.5b00747","title":"Surface Adsorption and Molecular Modeling of Biofunctional Gold Nanoparticles for Systemic Circulation and Biological Sustainability","year":2015,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; College of the North Atlantic","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador; Council of Scientific and Industrial Research, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Adsorption; Bovine serum albumin; Chemistry; Protein adsorption; Nanoparticle; Dextran; Colloidal gold; Molecular dynamics; Lysozyme; Biophysics; Chemical engineering; Nanotechnology; Chromatography; Computational chemistry; Organic chemistry; Materials science; 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":[0.0004288774,0.000136341,0.0001968163,0.00002270602,0.00004173897,0.00004154213,0.00005853279,0.00008125254,0.000002630545],"category_scores_gemma":[0.0005889955,0.0001355647,0.00002584252,0.00009544702,0.00005531423,0.0002269403,0.00008768371,0.00005615576,3.029387e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095928,"about_ca_system_score_gemma":0.00006769483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005073889,"about_ca_topic_score_gemma":6.468846e-8,"domain_scores_codex":[0.9990594,0.00001544517,0.0002537393,0.0002689829,0.0001252081,0.0002771566],"domain_scores_gemma":[0.9991118,0.00008877274,0.00007249521,0.0001273725,0.0005132733,0.0000862566],"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":[0.00003326824,0.00001149993,0.0005756905,0.0004830781,0.000009474609,0.000002323212,0.0001467293,0.2040104,0.7944428,0.0002707089,0.000005256723,0.000008822131],"study_design_scores_gemma":[0.0003481226,0.00002564126,0.00007682291,0.00003206651,0.00001929372,0.00004679395,0.004428891,0.1022109,0.8920118,0.0005736693,0.00006771521,0.0001582658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822499,0.00192022,0.01537329,0.0001067114,0.00004139351,0.0002155291,0.000005053355,0.00007464309,0.00001329556],"genre_scores_gemma":[0.9992387,0.00001413712,0.0006118702,0.000004484953,0.00002191185,0.0000357074,0.000005092048,0.0000118808,0.00005618705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017995,"threshold_uncertainty_score":0.5528169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041095628639775,"score_gpt":0.2426014697915412,"score_spread":0.2221905135051434,"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."}}