{"id":"W2889569394","doi":"10.1002/anie.201808196","title":"Proximity Ligation‐Based Fluorogenic Imaging Agents for Neuraminidases","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; Canadian Glycomics Network; Canadian Institutes of Health Research; Thailand Science Research and Innovation","keywords":"Neuraminidase; Reagent; Antigenicity; Chemistry; Fluorophore; Neuraminidase inhibitor; Virus; Virology; Biochemistry; Antibody; Biology; Fluorescence; Immunology; Coronavirus disease 2019 (COVID-19); Medicine; Pathology","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":[0.0005095869,0.0006000921,0.0002827155,0.0003743869,0.0003194746,0.0004143481,0.0005827037,0.0007492119,0.001457726],"category_scores_gemma":[0.0004877757,0.0003269506,0.0003814846,0.000313932,0.0003863891,0.0007450428,0.0005483219,0.00111481,0.0007979122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770714,"about_ca_system_score_gemma":0.0002574226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817008,"about_ca_topic_score_gemma":0.000337752,"domain_scores_codex":[0.9997138,0.00007321822,0.00001500561,0.00006555994,0.00008155551,0.00005085151],"domain_scores_gemma":[0.9998291,0.00005624601,0.00004970983,0.00002156577,0.00002465539,0.00001872559],"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":[0.00007032686,0.00002786604,0.00005398997,0.000166583,0.00000796491,0.0001371322,0.00004955782,0.0002646493,0.9885046,0.002617708,0.0002493109,0.007850356],"study_design_scores_gemma":[0.000007745193,0.00006999545,0.00009734231,0.00000803346,0.000007491987,0.0002354964,0.000008388844,0.0006583728,0.9930627,0.0001479656,0.005690088,0.000006552194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4847009,0.02677498,0.4640692,0.001151191,0.0003734728,0.0004411465,0.0004393657,0.001257322,0.02079238],"genre_scores_gemma":[0.7968743,0.01633603,0.1731145,0.0004176803,0.0001295836,0.0006123948,0.000433691,0.0001066168,0.01197534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457726,"threshold_uncertainty_score":0.004876554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367195249907218,"score_gpt":0.3547234402704217,"score_spread":0.3110514877713495,"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."}}