{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201267,0.0001154878,0.0001730428,0.00004867581,0.00005192739,0.00003346927,0.00003340958,0.0000816976,0.000008325335],"category_scores_gemma":[0.00007982741,0.00009947889,0.00008346869,0.000100539,0.00001363073,0.00003654304,0.000006328995,0.0000534154,0.00006233305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751786,"about_ca_system_score_gemma":0.000003158147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001555903,"about_ca_topic_score_gemma":0.00001426081,"domain_scores_codex":[0.9993275,0.00001479804,0.0001474992,0.0001811459,0.00007709703,0.0002520015],"domain_scores_gemma":[0.9995802,0.0001499863,0.00002939897,0.0001455541,0.00003516331,0.00005970221],"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":[0.00003385278,0.0000261462,0.00008552285,0.00009222572,0.00002315096,0.000005547893,0.00001859747,0.0001434805,0.9952366,0.0005841167,0.002223117,0.001527586],"study_design_scores_gemma":[0.000403427,0.00018787,0.0008902446,0.00002055484,0.00002587164,0.000008669887,0.000007004272,0.04283782,0.9397302,0.0008678845,0.01486362,0.0001568798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675115,0.000008332269,0.03075405,0.0002700059,0.0002650027,0.0004091749,0.00005920677,0.0002756335,0.0004470678],"genre_scores_gemma":[0.996381,9.558225e-7,0.002570166,0.0001877266,0.000246794,0.00005260472,0.00001048679,0.00003386409,0.0005164164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05550651,"threshold_uncertainty_score":0.4056631,"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."}}