{"id":"W4229067785","doi":"10.1002/cnma.202200111","title":"DNA‐Directed Seeded Synthesis of Gold Nanoparticles without Changing DNA Sequence","year":2022,"lang":"en","type":"article","venue":"ChemNanoMat","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Adsorption; DNA; Nanoparticle; Desorption; Colloidal gold; Materials science; DNA sequencing; Biophysics; Nanotechnology; Chemistry; Chemical engineering; Biochemistry; Organic chemistry; 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":[0.0002274683,0.0001620678,0.0002362403,0.00009226718,0.0001403422,0.00001097803,0.000223805,0.00006698302,0.00001051614],"category_scores_gemma":[0.0001003109,0.0001542136,0.0001274475,0.0003338951,0.0001137683,0.000004314986,0.0002612983,0.00006576796,0.000001456221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590775,"about_ca_system_score_gemma":0.00003963983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000884211,"about_ca_topic_score_gemma":0.000004993569,"domain_scores_codex":[0.998893,0.00006004514,0.0002395586,0.0003469225,0.0001780028,0.0002825163],"domain_scores_gemma":[0.9992988,0.00001837793,0.0001673261,0.0003942129,0.00006783583,0.00005345746],"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":[0.00004523789,0.00005868743,0.0007146539,0.00001865124,0.00005028774,0.000003987113,0.00004092496,0.000006501331,0.996542,0.00001294061,0.0004798035,0.00202635],"study_design_scores_gemma":[0.0001217554,0.00008408021,0.0001077559,0.00001941506,0.00004561916,0.00003050508,0.0002460771,0.0001547766,0.9949455,0.00003221846,0.004010851,0.000201444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987025,0.000191616,0.00004405399,0.0001305498,0.00004501973,0.0001084235,0.00004168387,0.0001139462,0.0006222365],"genre_scores_gemma":[0.9965544,0.00004720609,0.002361627,0.0001251542,0.00005331208,0.00004892693,0.00005053025,0.00002572148,0.0007331141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003531048,"threshold_uncertainty_score":0.6288649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349988283293435,"score_gpt":0.2547379775280424,"score_spread":0.2412380946951081,"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."}}