{"id":"W2117482397","doi":"10.1021/bc5004179","title":"Small Quantum Dots Conjugated to Nanobodies as Immunofluorescence Probes for Nanometric Microscopy","year":2014,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; U.S. Public Health Service; National Institutes of Health; National Science Foundation","keywords":"Chemistry; PIEZO1; Quantum dot; Immunofluorescence; Nanotechnology; Microscopy; Conjugated system; Biophysics; Fluorescence microscope; Mechanosensitive channels; Fluorescence; Antibody; Receptor; Optics; Physics; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003283362,0.0005234287,0.000416512,0.00009564618,0.0002443954,0.0001062582,0.0008145968,0.0004106028,0.00003274459],"category_scores_gemma":[0.0008443548,0.0005298523,0.0001989043,0.0003413668,0.0002931367,0.00001131924,0.000336797,0.0001637263,0.0000588524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007083535,"about_ca_system_score_gemma":0.0001441663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003213578,"about_ca_topic_score_gemma":0.000003647047,"domain_scores_codex":[0.9974176,0.00003787382,0.0005126427,0.001076277,0.0001629975,0.0007926693],"domain_scores_gemma":[0.9981809,0.00004319376,0.0002095535,0.0009336282,0.0003607853,0.0002718952],"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":[0.000347373,0.00009223785,0.0003749685,0.0002146516,0.00004271237,0.000001471656,0.00003520426,0.000005761271,0.9949383,0.0001169636,0.002480924,0.001349504],"study_design_scores_gemma":[0.0006533901,0.0005011411,0.00007487903,0.0001139557,0.00002168249,0.00001949814,0.00004811749,0.00002913178,0.901162,0.0003832909,0.09636125,0.0006316773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525946,0.001594227,0.04245538,0.0003068661,0.000257916,0.001532644,0.0001632576,0.0002428691,0.0008522797],"genre_scores_gemma":[0.9096373,0.0004880424,0.08269679,0.001220183,0.0005193145,0.001008305,0.0006387592,0.0001914358,0.003599888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09388033,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126249494479193,"score_gpt":0.2761973042641576,"score_spread":0.2635723548162383,"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."}}