{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005060857,0.0001372983,0.0002078441,0.00002611963,0.00002545511,0.00001161885,0.00005612151,0.0001515947,0.00007909631],"category_scores_gemma":[0.000076108,0.0001332878,0.0001116527,0.0002142016,0.00005388885,0.00005068691,0.000004861295,0.0001947627,0.00002936567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004440423,"about_ca_system_score_gemma":0.000006651566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002753138,"about_ca_topic_score_gemma":5.406402e-7,"domain_scores_codex":[0.9992284,0.000006249968,0.0002315018,0.0001720025,0.0001510927,0.0002107825],"domain_scores_gemma":[0.999596,0.00003673551,0.00002682102,0.0001591132,0.00006765738,0.0001136632],"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":[0.00001415679,0.00002821158,0.000001625784,0.00004007038,0.00002692832,0.000004500808,0.00001011996,0.0002298011,0.9947526,0.0001090142,0.0000696354,0.00471329],"study_design_scores_gemma":[0.0001421516,0.00003687368,0.0008094125,0.00001985156,0.00004087249,0.00000746779,0.00002856971,0.06062565,0.9375665,0.0004786247,0.0001007614,0.0001432306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752441,0.0000443944,0.004620079,0.00006373182,0.00004115085,0.00003531253,0.000005010434,0.000153794,0.01979245],"genre_scores_gemma":[0.9995661,0.00002639023,0.00002719122,0.00003376426,0.0001268653,7.314451e-7,0.000005475074,0.0000105482,0.0002029173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06039585,"threshold_uncertainty_score":0.5435321,"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."}}