{"id":"W2560914019","doi":"10.1021/acs.analchem.6b04632","title":"Ultrasensitive Ebola Virus Detection Based on Electroluminescent Nanospheres and Immunomagnetic Separation","year":2016,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Natural Science Foundation of Hubei Province; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Detection limit; Immunomagnetic separation; Chemistry; Electroluminescence; Nanotechnology; Magnetic separation; Quantum dot; Linear range; Ebola virus; Biosensor; Chromatography; Virology; Virus; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004714734,0.0005725097,0.0003463446,0.0006170725,0.0002639896,0.0003676086,0.0005735622,0.0008819473,0.000394519],"category_scores_gemma":[0.0005763195,0.0004137596,0.0002623971,0.0002117945,0.000547728,0.0006285949,0.0006012545,0.000514355,0.0003574709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224396,"about_ca_system_score_gemma":0.0002640288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004824736,"about_ca_topic_score_gemma":0.0008441037,"domain_scores_codex":[0.999454,0.00009413243,0.0000278578,0.000117449,0.0002638051,0.00004277186],"domain_scores_gemma":[0.9998257,0.00006683612,0.00003385914,0.00001428437,0.00003886148,0.0000204956],"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":[0.00001412536,0.00001589263,0.0001034408,0.00002732002,0.00000376516,0.00003118224,0.00001512157,0.00008041434,0.9960084,0.0001583097,0.00003442887,0.003507528],"study_design_scores_gemma":[0.000008595782,0.00005520407,0.0005194405,0.000004349351,0.000005676104,0.0001713289,0.00001068729,0.00310177,0.9946814,0.0001021534,0.001328103,0.00001133827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6463852,0.009490243,0.3374322,0.000735444,0.000203335,0.0003432207,0.0002063758,0.001099771,0.004104166],"genre_scores_gemma":[0.7191552,0.003557408,0.272246,0.0004461902,0.00007780022,0.0002944155,0.0001686784,0.00004808016,0.00400626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008819473,"threshold_uncertainty_score":0.00306499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765187020166341,"score_gpt":0.2916358233951236,"score_spread":0.2828706363749573,"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."}}