{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008002335,0.0001078398,0.0001426511,0.00002647555,0.00007137226,0.00002108203,0.00002039375,0.00009859761,0.0003939722],"category_scores_gemma":[0.0001649182,0.00007184022,0.00006505306,0.0001278539,0.0001086148,0.00003339386,0.000009517898,0.0001377423,0.00004621778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050517,"about_ca_system_score_gemma":0.00005136476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004697689,"about_ca_topic_score_gemma":0.000009059371,"domain_scores_codex":[0.9992244,0.00001965839,0.0001345584,0.0002304628,0.0001879269,0.0002030252],"domain_scores_gemma":[0.9994893,0.0001033471,0.00002288907,0.000147536,0.0001010548,0.0001358638],"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":[0.0003538202,0.0001089439,0.0004720194,0.00002824567,0.00002229354,0.00001875752,0.000002474155,0.000001083646,0.990259,0.000008297224,0.0001454403,0.008579655],"study_design_scores_gemma":[0.001001713,0.0004555444,0.008114783,0.00006144874,0.00005703352,0.00004865664,0.000009584945,0.009551866,0.9799941,0.00001338017,0.0005974561,0.00009449892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884548,0.00004235381,0.001275009,0.0007469298,0.00001349147,0.0001072961,0.000005031506,0.00004009109,0.009314995],"genre_scores_gemma":[0.9967985,0.00003312545,0.00001831503,0.0001590962,0.0001026495,0.000009403519,0.000007190361,0.00001074518,0.002861017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026493,"threshold_uncertainty_score":0.431372,"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."}}