{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153955,0.0005441414,0.0002960982,0.0002718061,0.0001222749,0.0002938722,0.0004706602,0.0005954465,0.0005945372],"category_scores_gemma":[0.000394275,0.0003744467,0.0002537204,0.0001658375,0.0002549634,0.0002486965,0.0002581388,0.0004450521,0.0004062306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004953758,"about_ca_system_score_gemma":0.0002157531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008751862,"about_ca_topic_score_gemma":0.001978048,"domain_scores_codex":[0.9997968,0.00001858079,0.00001389217,0.00007927279,0.00006598183,0.00002532425],"domain_scores_gemma":[0.9997477,0.0000758973,0.00004802956,0.00003056231,0.00006338523,0.00003435597],"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":[0.0000092828,0.000004644276,0.00001331956,0.00002133787,0.000002094235,0.00001551253,0.000007337985,0.00009908596,0.9992685,0.00004102037,0.00001290774,0.0005048536],"study_design_scores_gemma":[0.000002933113,0.00002227208,0.0001095792,0.000001467742,0.00000254503,0.00001245287,0.000002069845,0.001085128,0.9984701,0.000009765125,0.0002791133,0.000002523934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538409,0.001336723,0.04047423,0.00009741759,0.0001955341,0.0001370771,0.0003903638,0.0005374462,0.002990292],"genre_scores_gemma":[0.9525303,0.0005113313,0.04239941,0.00008238384,0.00002294087,0.00008880157,0.0002468106,0.0001082691,0.004009665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008751862,"threshold_uncertainty_score":0.00359422,"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."}}