{"id":"W1978864540","doi":"10.1007/s00216-014-7885-6","title":"Multi-analyte homogenous immunoassay based on quenching of quantum dots by functionalized graphene","year":2014,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Analyte; Graphene; Quantum dot; Fluorescence; Immunoassay; Förster resonance energy transfer; Quenching (fluorescence); Chemistry; Covalent bond; Excited state; Analytical Chemistry (journal); Materials science; Photochemistry; Optoelectronics; Nanotechnology; Chromatography; Antibody; Atomic physics; Optics; Physics; Organic chemistry","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":[0.0004202189,0.0004879181,0.0003283416,0.0003034463,0.0002167884,0.0003886737,0.000811666,0.0007488239,0.0006024741],"category_scores_gemma":[0.0003560459,0.0002234338,0.0002798465,0.0002202117,0.0003750281,0.0004564138,0.0005334703,0.0006952682,0.0002761373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270816,"about_ca_system_score_gemma":0.0001888347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004905788,"about_ca_topic_score_gemma":0.001033743,"domain_scores_codex":[0.9995812,0.00009172014,0.00001675292,0.0001494505,0.0001017219,0.00005914842],"domain_scores_gemma":[0.9997965,0.00007147621,0.00003373619,0.00003261633,0.00003494989,0.00003078166],"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":[0.00003267463,0.00001298178,0.00005972969,0.0000182042,0.000004010737,0.00001566647,0.00001414723,0.00005495849,0.9983525,0.0001585439,0.00003315106,0.001243344],"study_design_scores_gemma":[0.000003939634,0.00006456718,0.0003854076,0.000001451396,0.000006880909,0.00002993852,0.000004953978,0.002119176,0.9969577,0.00005245236,0.000367952,0.000005552405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850241,0.001963934,0.1088637,0.0003090464,0.0001302282,0.0001354286,0.0002181578,0.000487612,0.002867825],"genre_scores_gemma":[0.9530908,0.0003950975,0.04390707,0.0001198425,0.00002307685,0.0000511874,0.0001241966,0.00002567862,0.002262994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000811666,"threshold_uncertainty_score":0.003824294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008656743794678866,"score_gpt":0.2518350447203389,"score_spread":0.24317830092566,"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."}}