{"id":"W2331921751","doi":"10.1021/la403627p","title":"A High-Sensitivity Lanthanide Nanoparticle Reporter for Mass Cytometry: Tests on Microgels as a Proxy for Cells","year":2014,"lang":"en","type":"article","venue":"Langmuir","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Office of AIDS Research; National Institutes of Health","keywords":"Biotinylation; Reagent; Streptavidin; Chemistry; Mass cytometry; Covalent bond; Bovine serum albumin; Nanoparticle; Flow cytometry; Lanthanide; Conjugated system; Chromatography; Biophysics; Nuclear chemistry; Biotin; Combinatorial chemistry; Nanotechnology; Biochemistry; Polymer; Materials science; Molecular biology; Ion; Organic chemistry; Biology","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":[0.001239523,0.0005944998,0.0005114397,0.0002848792,0.0002343898,0.0006811844,0.0007948047,0.001193939,0.0007022968],"category_scores_gemma":[0.001273103,0.0002865455,0.0003078452,0.0002823413,0.0006630155,0.001025632,0.0004554093,0.0007241057,0.0004339871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935493,"about_ca_system_score_gemma":0.0002790068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000475272,"about_ca_topic_score_gemma":0.0008349053,"domain_scores_codex":[0.9992718,0.0002167455,0.00005344769,0.0002025236,0.0001945204,0.0000609389],"domain_scores_gemma":[0.9990031,0.0005671307,0.000137772,0.00007767128,0.000154826,0.00005944704],"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":[0.00002352009,0.00001077397,0.00008175604,0.00005119384,0.000002946634,0.00001198381,0.00002200075,0.00005581401,0.9985868,0.00007531461,0.00001480307,0.001063033],"study_design_scores_gemma":[0.000003444176,0.0002005215,0.00022339,0.00000480486,0.000006847146,0.00006984708,0.00001857832,0.0006716878,0.9979187,0.00004129999,0.000835478,0.000005419019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981637,0.00415271,0.1925298,0.0009401217,0.0002355139,0.0004091107,0.0002292114,0.0006839902,0.002655936],"genre_scores_gemma":[0.7513418,0.006285431,0.2355037,0.0005131913,0.00009409987,0.0004735923,0.0003820591,0.0001313143,0.005274856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239523,"threshold_uncertainty_score":0.006555319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0078240638318508,"score_gpt":0.2206867782750008,"score_spread":0.21286271444315,"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."}}