{"id":"W2147095250","doi":"10.3390/nano1010064","title":"Fabrication of Size-Tunable Metallic Nanoparticles Using Plasmid DNA as a Biomolecular Reactor","year":2011,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Center for Research Resources","keywords":"Nanoreactor; Chromium; Palladium; Phosphine; Materials science; Yield (engineering); Nanotechnology; Fabrication; Plasmid; Nanoparticle; Aqueous solution; Catalysis; Metal; Colloidal gold; DNA; Chemical engineering; Chemistry; Organic chemistry; Metallurgy","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":[0.0002377819,0.0003007101,0.0002569268,0.0001938527,0.0001604373,0.0003863646,0.0004629907,0.0004956694,0.0007226539],"category_scores_gemma":[0.0003461681,0.0002762606,0.0002479054,0.0001645558,0.0003272437,0.0002983186,0.0002851241,0.0004863553,0.0005550629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111607,"about_ca_system_score_gemma":0.0002830707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003843655,"about_ca_topic_score_gemma":0.0005370636,"domain_scores_codex":[0.9998492,0.00001959073,0.000009365765,0.00005060034,0.00004878501,0.00002238823],"domain_scores_gemma":[0.9998554,0.00004825071,0.00002892375,0.00001775307,0.00002432634,0.00002526492],"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":[0.00001303889,0.000008891955,0.00002465276,0.0000198389,0.000001682261,0.00002433782,0.00001299475,0.0001850474,0.9983476,0.0002524876,0.00003836505,0.001070926],"study_design_scores_gemma":[0.000007567095,0.00002974395,0.00006134637,0.000001243096,0.000002816185,0.00004416818,0.000004024392,0.001150368,0.9975246,0.00004380194,0.001126816,0.000003424126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.803156,0.001157813,0.1881607,0.000550124,0.0001334959,0.0001816866,0.0003085885,0.001883561,0.004468092],"genre_scores_gemma":[0.8852586,0.0006226805,0.1073635,0.0001163967,0.00001692936,0.0001309333,0.0002819738,0.0001507349,0.006058365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007226539,"threshold_uncertainty_score":0.00370872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604811574777445,"score_gpt":0.2772733201781846,"score_spread":0.2512252044304102,"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."}}