{"id":"W2016527664","doi":"10.1021/ac800601y","title":"Electrochemical DNAzyme Sensor for Lead Based on Amplification of DNA−Au Bio-Bar Codes","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Peking University; Chinese Academy of Agricultural Sciences; National Science Foundation","keywords":"Deoxyribozyme; Chemistry; Differential pulse voltammetry; DNA; Substrate (aquarium); Electrode; Biosensor; Electrochemistry; Analytical Chemistry (journal); Combinatorial chemistry; Cyclic voltammetry; Biochemistry; Chromatography","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":[0.0001166526,0.0001988613,0.0002699192,0.00002902853,0.00008344913,0.00000604552,0.0001602227,0.0002762647,0.000005251846],"category_scores_gemma":[0.0003358331,0.0001784141,0.0002615782,0.0001304314,0.0002960698,0.000002146526,0.00002428391,0.0001060425,0.00000200163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155984,"about_ca_system_score_gemma":0.0001093754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002984435,"about_ca_topic_score_gemma":8.775146e-7,"domain_scores_codex":[0.9987587,0.00001625972,0.0003013486,0.0004538519,0.0001794002,0.0002903877],"domain_scores_gemma":[0.9990819,0.00005777317,0.0001184578,0.0004518948,0.0001922307,0.00009773079],"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":[0.0002087812,0.0001592916,0.0007766957,0.00004401424,0.00005007009,0.000001442113,0.000002249891,0.000006484149,0.9978291,0.00003061367,0.0007778838,0.0001134046],"study_design_scores_gemma":[0.0003167684,0.0001737901,0.0001497821,0.00001847688,0.00006606145,0.00001175894,0.00001291503,0.002008443,0.9946049,0.00005914619,0.002363655,0.0002143199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946017,0.00003834508,0.05170304,0.0004136124,0.00001091755,0.0001396864,0.00005902145,0.00004949898,0.001568936],"genre_scores_gemma":[0.990018,0.00003146257,0.008274235,0.0002106302,0.000201538,0.00001287105,0.0005134445,0.00002109469,0.0007167903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04400099,"threshold_uncertainty_score":0.7275514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645622510546577,"score_gpt":0.2804158213109211,"score_spread":0.2639595962054553,"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."}}