{"id":"W4250252828","doi":"10.1002/ange.201411747","title":"A FRET Probe for Cell‐Based Imaging of Ganglioside‐Processing Enzyme Activity and High‐Throughput Screening","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Glycomics Centre; University of British Columbia","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Glycosphingolipid; Förster resonance energy transfer; Enzyme; Biochemistry; Ganglioside; Chemistry; High-throughput screening; Ceramide; Cell; Microtiter plate; Sphingolipid; Cell biology; Biology; Fluorescence; Chromatography","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":[0.00120003,0.0006644233,0.0008883055,0.0003988027,0.0003166448,0.0004810656,0.001138101,0.001434304,0.001653012],"category_scores_gemma":[0.0005496725,0.0003267755,0.000553855,0.0005281729,0.00041064,0.0006152971,0.0006511059,0.001200698,0.0009407865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009524543,"about_ca_system_score_gemma":0.0002883529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003967357,"about_ca_topic_score_gemma":0.0004121525,"domain_scores_codex":[0.9991776,0.0002374256,0.00003910425,0.0002001995,0.0002230631,0.0001225031],"domain_scores_gemma":[0.9997157,0.0001269784,0.00003139528,0.00004648267,0.00004590679,0.00003357037],"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":[0.00005838845,0.00004271933,0.00007013186,0.00004950494,0.000007971859,0.00006324753,0.00002272928,0.0004432449,0.9953443,0.0007177226,0.0003604942,0.002819523],"study_design_scores_gemma":[0.000009196714,0.00008052425,0.0001489827,0.000003033929,0.000005835293,0.00009580546,0.00001092048,0.005183894,0.9926743,0.0001025269,0.00167519,0.000009804791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5298746,0.002212338,0.4539928,0.001115436,0.0002132559,0.0003744954,0.00176863,0.002762413,0.007686074],"genre_scores_gemma":[0.80205,0.001732104,0.1857832,0.0003148176,0.00004617131,0.001007473,0.00115813,0.0001979202,0.007710131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001653012,"threshold_uncertainty_score":0.006910563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003518495422253,"score_gpt":0.2908583771637014,"score_spread":0.2608231922094789,"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."}}