{"id":"W2995112209","doi":"10.1021/acsabm.9b00899","title":"Dextran Functionalization of Semiconducting Polymer Dots and Conjugation with Tetrameric Antibody Complexes for Bioanalysis and Imaging","year":2019,"lang":"en","type":"article","venue":"ACS Applied Bio Materials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Michael Smith Health Research BC; Canada Foundation for Innovation; Alfred P. Sloan Foundation","keywords":"Surface modification; Bioanalysis; Dextran; Chemistry; Bioconjugation; Combinatorial chemistry; Fluorescence; Conjugate; PEGylation; Ionic strength; Polymer; Biophysics; Nanotechnology; Biochemistry; Chromatography; Organic chemistry; 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":[0.0001300823,0.0001275316,0.0002168924,0.00006772402,0.00005791701,0.00003454725,0.0000371351,0.00005835096,0.00000323352],"category_scores_gemma":[0.000008180535,0.0001004598,0.00001924281,0.00009224914,0.0001462985,0.000007409082,0.00002925552,0.00001604587,2.20627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003852731,"about_ca_system_score_gemma":0.00001021739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001336761,"about_ca_topic_score_gemma":0.000002411602,"domain_scores_codex":[0.9993048,0.0000164818,0.000206072,0.0002923133,0.00006762194,0.0001127076],"domain_scores_gemma":[0.9995546,0.00001539534,0.0001972937,0.0001345471,0.00007583434,0.00002227784],"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":[0.0001203672,0.00001460163,0.004080047,0.00005958688,0.00007614225,5.9974e-8,0.00001120642,0.000001893323,0.9943172,0.0002233691,0.000008085131,0.00108745],"study_design_scores_gemma":[0.0003674632,0.00007881378,0.001321091,0.00002051969,0.0000983098,0.000007915418,0.0001375089,0.00001359231,0.9975697,0.00008332724,0.0001580968,0.0001437023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947557,0.0002674744,0.004566324,0.0000368714,0.00002027119,0.0002487742,0.00005397318,0.0000167811,0.00003386941],"genre_scores_gemma":[0.996471,0.0001311229,0.002588562,0.00008274801,0.00004948643,0.000009500233,0.0006201649,0.00001549866,0.00003193523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003252468,"threshold_uncertainty_score":0.409663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006020093780437376,"score_gpt":0.2508676131095096,"score_spread":0.2448475193290722,"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."}}