{"id":"W4233484650","doi":"10.1002/9783527808465.emc2016.5962","title":"In‐liquid TEM to visualize multimerization and self‐assembly of DNA functionalized gold nanoparticles","year":2016,"lang":"en","type":"other","venue":"European Microscopy Congress 2016: Proceedings","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"DNA; Oligonucleotide; Transmission electron microscopy; Chemistry; Colloidal gold; Base pair; DNA origami; Biophysics; Nanotechnology; Nanoparticle; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003921011,0.0005541161,0.0005765982,0.000369034,0.00006125603,0.00008187544,0.0003397864,0.0003271054,0.00001200365],"category_scores_gemma":[0.000390858,0.0004637136,0.0001302322,0.0002531582,0.0002403266,0.00002292834,0.0003314644,0.0001363659,0.00006674337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003014952,"about_ca_system_score_gemma":0.0000560312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001632753,"about_ca_topic_score_gemma":0.000009310605,"domain_scores_codex":[0.9976331,0.00009050716,0.0005786016,0.0009648534,0.0002435504,0.0004893799],"domain_scores_gemma":[0.9985221,0.00003768336,0.0006556138,0.0002947384,0.0003019063,0.0001879284],"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":[0.00002983339,0.00008869674,0.0001630606,0.0001087667,0.0001036446,0.000003988931,0.00007324165,7.425615e-8,0.729414,0.00002379105,0.2697517,0.0002391225],"study_design_scores_gemma":[0.0004525078,0.0002564116,0.00005046627,0.0003714264,0.00005345889,0.000007918074,0.00004250808,0.000002394891,0.5459301,0.000003299665,0.4527312,0.00009831075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8720145,0.003717998,0.000854864,0.00009092918,0.0006205325,0.001411457,0.0003267093,0.0004828705,0.1204801],"genre_scores_gemma":[0.1717089,0.007287261,0.02191527,0.001130082,0.00148803,0.00007058672,0.0002854427,0.001392575,0.7947219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7003056,"threshold_uncertainty_score":0.9997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006924221164934832,"score_gpt":0.2742656641177916,"score_spread":0.2673414429528567,"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."}}