{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003927748,0.0004909287,0.0003219626,0.0003375656,0.0001478372,0.0004301196,0.0003819493,0.0003688928,0.0006534026],"category_scores_gemma":[0.0004418904,0.000296514,0.0003510023,0.000191372,0.0003364244,0.0004787577,0.0006303528,0.0005821005,0.0005246314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004670132,"about_ca_system_score_gemma":0.0001722812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228401,"about_ca_topic_score_gemma":0.0003091292,"domain_scores_codex":[0.9997422,0.00004208186,0.00003414672,0.00009223486,0.00004518946,0.00004407601],"domain_scores_gemma":[0.9997882,0.00004719584,0.00006510822,0.00003204804,0.00003530873,0.00003218722],"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":[0.00003337559,0.0000067151,0.00004409164,0.00002816571,0.000003678947,0.00001865546,0.00002190919,0.0001651496,0.998188,0.0001771148,0.0000186317,0.001294559],"study_design_scores_gemma":[0.000005751979,0.00002731562,0.00006918736,0.000002698887,0.00000277911,0.00001888888,0.000003315914,0.0006642966,0.9984097,0.00002848877,0.0007640349,0.000003566284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280738,0.001878718,0.06663117,0.000193498,0.00007809218,0.0002610175,0.0004238924,0.0006040378,0.001855669],"genre_scores_gemma":[0.9490708,0.0009315208,0.04615126,0.0001188147,0.00001185766,0.0002175114,0.0004622299,0.0001406906,0.002895361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006534026,"threshold_uncertainty_score":0.003388464,"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."}}