{"id":"W2319883821","doi":"10.1021/ac4033627","title":"Rationally Designed Nucleobase and Nucleotide Coordinated Nanoparticles for Selective DNA Adsorption and Detection","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Nucleobase; DNA; Nucleotide; Adsorption; Nanoparticle; Combinatorial chemistry; Nanotechnology; Chromatography; Biochemistry; Organic chemistry; Gene","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":[0.0001456481,0.0004964366,0.0002546097,0.0001847398,0.0001395284,0.0002940059,0.0003658508,0.0004871078,0.0004134796],"category_scores_gemma":[0.0002475055,0.00024234,0.0001737128,0.0001491816,0.000188309,0.0002751096,0.0001932978,0.0002970013,0.0003813056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177938,"about_ca_system_score_gemma":0.0002598572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487415,"about_ca_topic_score_gemma":0.001196179,"domain_scores_codex":[0.9998647,0.00001912797,0.00001454147,0.00003955135,0.00004024482,0.00002182072],"domain_scores_gemma":[0.9999233,0.0000144043,0.00002071489,0.000007057914,0.00002201044,0.00001239494],"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":[0.00001811231,0.0000160063,0.00005771075,0.00006252058,0.000005939281,0.00003148136,0.00001064786,0.0003382907,0.9972,0.000396737,0.00005342892,0.00180924],"study_design_scores_gemma":[0.00001063121,0.00006796389,0.0002131421,0.00000393216,0.000008140603,0.00007155651,0.000006968348,0.002506125,0.9949241,0.00006939087,0.002111865,0.000006102283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120383,0.003409297,0.07570241,0.000309165,0.0001549513,0.0003767177,0.0002922783,0.0005133021,0.007203537],"genre_scores_gemma":[0.9135861,0.001128076,0.08229554,0.0001479628,0.00001436936,0.0002102682,0.000285839,0.00007134216,0.002260504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004964366,"threshold_uncertainty_score":0.003031373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006674342807475842,"score_gpt":0.2408728111654358,"score_spread":0.23419846835796,"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."}}