{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002019233,0.0004638505,0.0001530429,0.0002258244,0.0001213108,0.0001614656,0.000178316,0.0003035705,0.000883077],"category_scores_gemma":[0.0001413361,0.0001404744,0.0001627724,0.0001854187,0.0002158566,0.0001523905,0.0001422503,0.0003321176,0.0003218364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530039,"about_ca_system_score_gemma":0.0001845073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003775479,"about_ca_topic_score_gemma":0.0006894725,"domain_scores_codex":[0.9998726,0.00002168662,0.00001056996,0.00003692862,0.00003409492,0.00002406794],"domain_scores_gemma":[0.9999382,0.00001465638,0.00001412935,0.000006839197,0.00001422695,0.00001190233],"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":[0.0000128855,0.00000873203,0.00003085193,0.00001985208,0.000001500688,0.00001701865,0.000005880607,0.00005605845,0.998606,0.0001385593,0.00002436774,0.001078315],"study_design_scores_gemma":[0.000002329717,0.00003996798,0.0002124998,0.000001021838,0.000001827795,0.00004360992,0.000002256509,0.0005331357,0.9981536,0.00001921932,0.0009888809,0.00000151668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062901,0.001493623,0.08842208,0.0001516271,0.00008295354,0.000151753,0.0002676714,0.0003638675,0.002776352],"genre_scores_gemma":[0.9438712,0.001591799,0.04944092,0.0001173061,0.00001739869,0.0001209417,0.0005318652,0.00006007647,0.00424841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000883077,"threshold_uncertainty_score":0.002954185,"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."}}