{"id":"W2315423962","doi":"10.1021/ja511988w","title":"Fluorescence Activation Imaging of Cytochrome c Released from Mitochondria Using Aptameric Nanosensor","year":2014,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ministry of Education of the People's Republic of China; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Cytochrome c; Nanosensor; Chemistry; Cytosol; Aptamer; Biophysics; Fluorescence; Intracellular; Apoptosis; Cell biology; Mitochondrion; Fluorescence-lifetime imaging microscopy; Molecular biology; Biochemistry; Nanotechnology; 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":[0.0002048926,0.0003033324,0.0001948172,0.0002139365,0.0001175724,0.0001710446,0.000239699,0.000453316,0.0004455179],"category_scores_gemma":[0.0002140975,0.0001018266,0.000129443,0.0001367973,0.0002279457,0.0002151844,0.0001834208,0.0004619305,0.0001445909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186171,"about_ca_system_score_gemma":0.0001368484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003264392,"about_ca_topic_score_gemma":0.000358035,"domain_scores_codex":[0.999814,0.00002119958,0.00001029436,0.00005093407,0.00006749869,0.00003620381],"domain_scores_gemma":[0.9998591,0.00003636143,0.00002771085,0.00001440733,0.00003757546,0.00002496519],"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":[0.00001720952,0.000007624932,0.00004272481,0.00001372246,0.00000117429,0.00003018795,0.000008679003,0.0001139122,0.9985887,0.00005936098,0.00002582134,0.001090763],"study_design_scores_gemma":[0.000004547566,0.00005736906,0.0002445223,0.000001229274,0.000002413978,0.00007461153,0.000004330243,0.001990468,0.9972079,0.00002696908,0.0003815773,0.000004109359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191348,0.001625786,0.07601629,0.0004069538,0.0001212279,0.00007408833,0.0001757308,0.0004759791,0.001969182],"genre_scores_gemma":[0.9585251,0.0006086915,0.03872143,0.0001166803,0.00002208009,0.00004687301,0.0000876257,0.00001927164,0.001852249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000453316,"threshold_uncertainty_score":0.002311707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007033345696156875,"score_gpt":0.2576117105028854,"score_spread":0.2505783648067285,"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."}}