{"id":"W6921949885","doi":"10.1021/ac4033627.s001","title":"Rationally Designed Nucleobase and Nucleotide Coordinated\\nNanoparticles for Selective DNA Adsorption and Detection","year":2016,"lang":"en","type":"article","venue":"Figshare","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 Waterloo","funders":"","keywords":"Nucleobase; DNA; Biomolecule; Adsorption; Nanomaterials; Nucleotide; Base pair; Rational design; Oligonucleotide","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":[0.0001249166,0.0004008703,0.0002105692,0.0001859536,0.000145748,0.0002673054,0.0003246342,0.0005144128,0.0005995755],"category_scores_gemma":[0.0001701201,0.0002450796,0.0001790123,0.000108375,0.0001614092,0.0002556844,0.0002443202,0.0002909054,0.0003828988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986698,"about_ca_system_score_gemma":0.0002093536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141713,"about_ca_topic_score_gemma":0.001353904,"domain_scores_codex":[0.9999,0.00001171095,0.000009441728,0.00003082013,0.00002638256,0.0000216627],"domain_scores_gemma":[0.9999411,0.000009654173,0.00001521765,0.000006753854,0.00001521425,0.00001194517],"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":[0.0000242154,0.00001567375,0.00007050233,0.0000590098,0.00000621149,0.000044853,0.00001315772,0.000158509,0.9973422,0.0005183568,0.00008454916,0.00166275],"study_design_scores_gemma":[0.00001835415,0.0001293675,0.0004578349,0.000006313061,0.000009841355,0.00009956815,0.00001574775,0.002416869,0.9930426,0.00008807774,0.003706157,0.000009238829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466023,0.002291488,0.0418616,0.0002416118,0.000257239,0.0002580888,0.0002688274,0.0003016379,0.00791707],"genre_scores_gemma":[0.9535655,0.0008051077,0.04158545,0.0001571089,0.00001660129,0.0002232416,0.0002988625,0.00005831218,0.003289891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005995755,"threshold_uncertainty_score":0.002166986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287841034281919,"score_gpt":0.2496317405204353,"score_spread":0.2367533301776161,"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."}}