{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009270874,0.0001267123,0.000123789,0.00001707967,0.00009065743,0.00004609598,0.00003838331,0.0001358477,0.000004243366],"category_scores_gemma":[0.0001986508,0.0001155308,0.00004898007,0.00008075762,0.0001323915,0.00001051296,0.00003347302,0.00005254249,0.000001094811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522235,"about_ca_system_score_gemma":0.00001643073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000916006,"about_ca_topic_score_gemma":0.000007073941,"domain_scores_codex":[0.9992787,0.00001802831,0.0001543669,0.000324458,0.00006214744,0.0001622697],"domain_scores_gemma":[0.9995233,0.00002994288,0.00005489763,0.0001130604,0.0001819357,0.00009682908],"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":[0.00006123442,0.00002865038,0.0002712203,0.00001883905,0.00004702788,3.159392e-7,0.000003400639,0.000001537335,0.9966406,0.0000161023,0.0004126896,0.002498358],"study_design_scores_gemma":[0.0002976905,0.0001154611,0.001214169,0.000007826596,0.00006250393,0.00001247612,0.00003611107,0.003592785,0.9937872,0.0004397536,0.0002774874,0.0001565235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940366,0.0000536882,0.005300137,0.0002377194,0.00000512518,0.0001618681,0.00000756065,0.00003494615,0.0001624227],"genre_scores_gemma":[0.9974024,0.00003498021,0.001967703,0.0001336637,0.0000696141,0.00002749818,0.00005248714,0.00001300922,0.0002986035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003591247,"threshold_uncertainty_score":0.4711209,"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."}}