{"id":"W2034341623","doi":"10.1021/ac9021105","title":"Quantum Dots Enhanced Ultrasensitive Detection of DNA Adducts","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Chemistry; Capillary electrophoresis; DNA; Adduct; Fluorescence; Immunoassay; Quantum dot; Laser-induced fluorescence; Pyrene; Chromatography; Nanotechnology; Antibody; Biochemistry","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":[0.0001486301,0.0002416451,0.0001937408,0.0001642425,0.0001018617,0.0002924786,0.0002293396,0.0004819057,0.0009259004],"category_scores_gemma":[0.0003722525,0.0001537074,0.00008876067,0.0001142408,0.00027922,0.0003562852,0.0002725418,0.0003375222,0.0003689924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169414,"about_ca_system_score_gemma":0.0001125632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004647966,"about_ca_topic_score_gemma":0.0007143486,"domain_scores_codex":[0.9997879,0.00002809883,0.000008110078,0.00004978649,0.0000987067,0.00002743719],"domain_scores_gemma":[0.9998286,0.0000583425,0.00002249377,0.00001188397,0.00005990986,0.00001874684],"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":[0.00002324342,0.000009294731,0.0001012533,0.00002002426,0.000002304489,0.00002449142,0.00001226678,0.0001939147,0.9965314,0.0003116369,0.00009200617,0.002678122],"study_design_scores_gemma":[0.000002809644,0.00002365891,0.0002118003,0.000001097194,0.000002889602,0.00004351203,0.000002861395,0.00279624,0.9955856,0.00006958563,0.001256957,0.00000291126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453717,0.003224111,0.143837,0.0005007377,0.0001981519,0.00006828682,0.0002311087,0.0006715973,0.00589743],"genre_scores_gemma":[0.9542637,0.0009607785,0.03812649,0.0001797161,0.00002125764,0.00002948923,0.0001228162,0.0000359809,0.006259718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009259004,"threshold_uncertainty_score":0.003097415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005713686167647581,"score_gpt":0.2050730823668347,"score_spread":0.1993593961991871,"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."}}