{"id":"W2278748511","doi":"10.1126/science.aad4925","title":"DNA-controlled dynamic colloidal nanoparticle systems for mediating cellular interaction","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Prostate Cancer Canada","keywords":"Nanoparticle; Nanotechnology; Biophysics; DNA; Fluorophore; Chemistry; Function (biology); Colloid; Biomolecule; DNA origami; Materials science; Biological system; Cell biology; Biology; Physics; Nanostructure; Biochemistry; Fluorescence","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":[0.0005506316,0.00008129368,0.0001198479,0.00005169494,0.0001650102,0.00004139918,0.0001581513,0.00004443782,4.847706e-7],"category_scores_gemma":[0.0004162862,0.00004991657,0.00006573432,0.000146915,0.0001946879,0.00001257961,0.00004623262,0.00001852995,0.000002370892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004152749,"about_ca_system_score_gemma":0.00006193179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002274747,"about_ca_topic_score_gemma":0.000006487251,"domain_scores_codex":[0.9991188,0.00002305747,0.0001710092,0.0003135541,0.0001449818,0.0002285878],"domain_scores_gemma":[0.9994417,0.00003066859,0.0001093063,0.000203464,0.0001580874,0.00005670617],"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":[0.00007174373,0.00001260814,0.00007804949,0.000002906284,0.000007083651,1.955407e-7,0.00000555795,0.000005879722,0.9967142,0.00002311186,0.00002880726,0.003049821],"study_design_scores_gemma":[0.0005464953,0.0001409885,0.00003817716,0.00001621795,0.00001180552,0.000003360219,0.00005998883,0.002546876,0.994514,0.00005123864,0.001976045,0.00009474247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828174,0.0001706761,0.01621577,0.0001789528,0.0002461391,0.0002553573,0.000009216295,0.00003203586,0.00007442545],"genre_scores_gemma":[0.9978127,0.00004272983,0.001379762,0.0000376459,0.00008584055,0.00003320145,0.000004353881,0.000006539676,0.0005972179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499528,"threshold_uncertainty_score":0.2035538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007204768113999648,"score_gpt":0.2799147898833271,"score_spread":0.2727100217693275,"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."}}