{"id":"W2808315477","doi":"10.1002/anie.201804741","title":"Target‐Induced Catalytic Assembly of Y‐Shaped DNA and Its Application for In Situ Imaging of MicroRNAs","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Recruitment Program of Global Experts; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"DNA; In situ; microRNA; Biophysics; In situ hybridization; Computational biology; Cell biology; Biology; Nanotechnology; Molecular biology; Chemistry; Gene; Materials science; Genetics; Messenger RNA","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":[0.0001198687,0.00007428897,0.0001016094,0.00007134234,0.00001727426,0.000004172453,0.00007872129,0.00006341493,9.561201e-7],"category_scores_gemma":[0.00009491983,0.00007451362,0.00004505316,0.00006050297,0.0000503255,0.00001119804,0.0000337561,0.00002729416,2.634591e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817025,"about_ca_system_score_gemma":0.00001991091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137423,"about_ca_topic_score_gemma":0.00002854599,"domain_scores_codex":[0.9994438,0.000006031461,0.0002014899,0.000189353,0.00008367658,0.00007566952],"domain_scores_gemma":[0.9993913,0.00001317235,0.0001659415,0.00008635464,0.0003255775,0.00001767353],"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":[0.00006393158,0.00003875331,0.0002656959,0.0000178859,0.00002253937,1.433381e-7,0.00002082832,1.572195e-7,0.9985453,0.00004320978,0.0001583326,0.0008232061],"study_design_scores_gemma":[0.0003070295,0.00006535951,0.0006088572,0.00003186349,0.0000136846,0.000003745997,0.0000291443,0.0002192499,0.997702,0.0003130714,0.0006305556,0.00007544717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860384,0.00008300794,0.0128335,0.0002280114,0.00009045324,0.000157825,0.00006799041,0.000008352817,0.0004924794],"genre_scores_gemma":[0.9976116,0.00003978412,0.001221229,0.00005929033,0.0003842164,0.00001770333,0.0006263467,0.000007807915,0.00003196733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161228,"threshold_uncertainty_score":0.3038577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101131417990672,"score_gpt":0.2883350342780427,"score_spread":0.277323720098136,"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."}}