{"id":"W2988836760","doi":"10.1021/acs.analchem.9b03980","title":"Cytoplasmic Protein-Powered In Situ Fluorescence Amplification for Intracellular Assay of Low-Abundance Analyte","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; Education Department of Hunan Province","keywords":"Chemistry; Cytoplasm; Fluorescence; Analyte; Detection limit; Biophysics; Fluorophore; Intracellular; Nanotechnology; Biochemistry; Chromatography; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098264,0.0006263175,0.0003080296,0.0002610783,0.0001582424,0.0002873076,0.0004077533,0.0006341925,0.0007279956],"category_scores_gemma":[0.0003695162,0.0002301433,0.0003421393,0.0001880696,0.0003321758,0.0005130412,0.0003271707,0.0006626949,0.0003302383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497167,"about_ca_system_score_gemma":0.000295037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003777762,"about_ca_topic_score_gemma":0.0006583428,"domain_scores_codex":[0.9996946,0.00003643441,0.00001436987,0.0001048075,0.00009969714,0.00005004589],"domain_scores_gemma":[0.9997955,0.00006430052,0.00005438292,0.00002114024,0.00004616294,0.00001858931],"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":[0.000010336,0.000006142653,0.00005440971,0.00005970457,0.000002638865,0.00002456436,0.00001562701,0.00006195073,0.9976661,0.0001539476,0.00004318729,0.001901453],"study_design_scores_gemma":[0.000002247658,0.00003996817,0.0002101292,0.000002419904,0.000005489498,0.00006178236,0.000009432862,0.001436781,0.996954,0.00005140205,0.001221165,0.000005216346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6926485,0.005719308,0.2946291,0.0005052049,0.0002600593,0.0001753025,0.0004133565,0.0009816941,0.004667445],"genre_scores_gemma":[0.9209482,0.002896182,0.0720829,0.0002404909,0.00006957239,0.0001822451,0.0002796418,0.00004914459,0.003251561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007279956,"threshold_uncertainty_score":0.00253737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006633775161386078,"score_gpt":0.2556663551095419,"score_spread":0.2490325799481558,"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."}}