{"id":"W4285397979","doi":"10.1149/ma2022-01502121mtgabs","title":"Controlling DNA Spacing in a Monolayer, Using DNA Nano-Cubes","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","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 British Columbia","funders":"","keywords":"Monolayer; Nanotechnology; Biosensor; Fluorescence; DNA; Atomic force microscopy; DNA origami; Materials science; Nano-; Surface modification; Self-assembled monolayer; Fluorescence microscope; Nanostructure; Chemistry; Optics; Physics; Biochemistry; Physical chemistry","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":[0.0001777733,0.0003799046,0.0002188893,0.0001733093,0.000195132,0.0002907895,0.0005082091,0.0003221566,0.0007760829],"category_scores_gemma":[0.0004849741,0.0002116209,0.000188937,0.0002381642,0.0002431983,0.0005351119,0.0003359113,0.0004358698,0.0003107295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784115,"about_ca_system_score_gemma":0.0002969826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006372313,"about_ca_topic_score_gemma":0.001546809,"domain_scores_codex":[0.9998053,0.00002113387,0.00001906962,0.00007222282,0.00005926378,0.00002311491],"domain_scores_gemma":[0.9995424,0.0001278787,0.0001337969,0.00005830322,0.00009279895,0.00004490097],"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":[0.00001838653,0.000006668738,0.00008312611,0.00003206427,0.000002206494,0.00001352095,0.00001656549,0.0002165136,0.9981245,0.00008769106,0.00003140564,0.001367112],"study_design_scores_gemma":[0.00000538553,0.00006936469,0.0004127936,0.000002519727,0.000004145034,0.00003635658,0.00002182382,0.002343862,0.995791,0.00005258294,0.001252158,0.000007991913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532911,0.001786171,0.03959327,0.0004421289,0.0001864178,0.0001214417,0.0007194387,0.0004541131,0.003405975],"genre_scores_gemma":[0.9283189,0.001116972,0.06772896,0.0001764373,0.00004055122,0.0001246488,0.0004595522,0.00007278081,0.00196118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007760829,"threshold_uncertainty_score":0.002745628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410916327939286,"score_gpt":0.265328531582034,"score_spread":0.2512193683026411,"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."}}