{"id":"W4413373399","doi":"10.1002/ange.202510518","title":"Green Fluorescent Protein SELEX: Immobilization Chemistry and His‐Tag Epitope Bias","year":2025,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Chemistry; Systematic evolution of ligands by exponential enrichment; Epitope; Fluorescence; Biosensor; Nanotechnology; Combinatorial chemistry; Biophysics; Biochemistry; Materials science; Biology; Antibody","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":[0.001135122,0.0005671281,0.0005319889,0.0002908785,0.0002155826,0.0006919793,0.0004742338,0.0003880204,0.0009844895],"category_scores_gemma":[0.0008282086,0.0002769204,0.0001927526,0.000415347,0.0003679704,0.000356327,0.0006099074,0.0006265715,0.0004823591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056915,"about_ca_system_score_gemma":0.0002334448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002011591,"about_ca_topic_score_gemma":0.0003930248,"domain_scores_codex":[0.9995265,0.0001417866,0.0000436386,0.00007827779,0.0001573187,0.00005252336],"domain_scores_gemma":[0.9997047,0.0001254847,0.00004603754,0.00005344188,0.000044293,0.0000260098],"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":[0.0001402794,0.0001044435,0.0003893886,0.0001221954,0.00003700869,0.0002139544,0.0001004699,0.001721944,0.9846481,0.000896713,0.0002021291,0.01142341],"study_design_scores_gemma":[0.00001177095,0.00006119597,0.0002274099,0.000004193099,0.000009968954,0.0001078564,0.00001804244,0.002897144,0.9949832,0.0001022111,0.001570135,0.000006885669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044968,0.0008121495,0.09021326,0.0002751073,0.00005043345,0.0003066087,0.000356113,0.0004285314,0.003060894],"genre_scores_gemma":[0.9260402,0.001298737,0.06416339,0.0002768729,0.00001268838,0.000252933,0.0004650503,0.0002303376,0.00725978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135122,"threshold_uncertainty_score":0.006003201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047368313378795,"score_gpt":0.2549229674225452,"score_spread":0.2444492842887572,"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."}}