{"id":"W2942059554","doi":"10.1039/c9an00280d","title":"A near-infrared Nile red fluorescent probe for the discrimination of biothiols by dual-channel response and its bioimaging applications in living cells and animals","year":2019,"lang":"en","type":"article","venue":"The Analyst","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Program of Shanghai Academic Research Leader; Shanghai University of Traditional Chinese Medicine; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Nile red; Fluorescence; Infrared; Dual (grammatical number); Channel (broadcasting); Optoelectronics; Nanotechnology; Biophysics; Chemistry; Materials science; Telecommunications; Optics; Biology; Computer science; Physics; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0006321024,0.00009113074,0.00012498,0.00003579254,0.00009379716,0.00002478021,0.0001297452,0.00006248702,0.000002385435],"category_scores_gemma":[0.0001107924,0.00005816834,0.00003462222,0.0001052732,0.0001010156,0.000003809398,0.0001341458,0.00004836178,6.629714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008886776,"about_ca_system_score_gemma":0.00002275142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002270967,"about_ca_topic_score_gemma":0.00002019219,"domain_scores_codex":[0.9992766,0.0001333334,0.0001778627,0.0002308598,0.00004947502,0.0001318403],"domain_scores_gemma":[0.9992486,0.0002855737,0.0001064532,0.0002823214,0.00005745794,0.00001960648],"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":[0.0001577911,0.00002210649,0.001833862,0.00002856999,0.00003308317,6.416035e-8,0.0003335467,0.00001743717,0.9971114,0.00006179359,0.000255973,0.0001443775],"study_design_scores_gemma":[0.0007154971,0.0003362781,0.04174168,0.00006161213,0.0001074964,0.000008656541,0.001571724,0.01041281,0.9366928,0.0003807076,0.007729286,0.0002414725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944404,0.002490371,0.001471194,0.0007082646,0.00002296478,0.0007696576,0.00006296141,0.000004402311,0.00002978218],"genre_scores_gemma":[0.9991413,0.0002112251,0.0002430396,0.00006045688,0.00002278793,0.00009619743,0.00003889178,0.00001033767,0.0001757536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06041862,"threshold_uncertainty_score":0.2372036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164073703162906,"score_gpt":0.2581241474505951,"score_spread":0.2464834104189661,"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."}}