{"id":"W2319036082","doi":"10.1021/nn1030093","title":"Programmable Assembly of DNA-Functionalized Liposomes by DNA","year":2011,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Liposome; Nanobiotechnology; DNA; Materials science; Biomolecule; Nanoparticle; Nanotechnology; Linker DNA; Nanomaterials; Colloidal gold; Biophysics; Chemistry; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000111974,0.0001237629,0.0001575251,0.00003648835,0.00004512451,0.000007374226,0.0001344309,0.000138319,0.00001157302],"category_scores_gemma":[0.00004251709,0.0001023944,0.0001030809,0.0001272596,0.00009296927,0.000004379649,0.00006067323,0.00003849268,0.000003927052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000665855,"about_ca_system_score_gemma":0.00002987102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046018,"about_ca_topic_score_gemma":0.0000103357,"domain_scores_codex":[0.999239,0.00003085106,0.0001921878,0.0002492238,0.0001130135,0.0001757391],"domain_scores_gemma":[0.9994122,0.000005432506,0.0001189097,0.0002964755,0.0001232922,0.00004364503],"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":[0.00006868895,0.0001177856,0.0004490581,0.000007325089,0.00007907682,7.617672e-7,0.000009588583,5.888132e-8,0.9888932,0.00007508104,0.004970217,0.005329228],"study_design_scores_gemma":[0.0002016644,0.0002709182,0.0001362864,0.000008501298,0.00003418687,0.000005278702,0.00001673182,0.000001241863,0.9275594,0.0001515577,0.0714898,0.0001243643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943946,0.0005787628,0.0009180449,0.00005326769,0.00005708407,0.0001305381,0.00002160995,0.00005417721,0.003791886],"genre_scores_gemma":[0.9895722,0.0002048468,0.006315485,0.0001134906,0.00005052492,0.00001135435,0.000139321,0.00001534691,0.003577417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06651959,"threshold_uncertainty_score":0.4175523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339140367120786,"score_gpt":0.2509561138535917,"score_spread":0.2375647101823839,"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."}}