{"id":"W4234544312","doi":"10.1002/ange.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","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"DNA; In situ; microRNA; Biophysics; In situ hybridization; Chemistry; Computational biology; Nanotechnology; Cell biology; Biology; Materials science; Gene; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002716584,0.0002915854,0.0001718877,0.0001497581,0.0001243417,0.0003111959,0.0002803061,0.0004527529,0.0004781532],"category_scores_gemma":[0.0001829659,0.0002742122,0.0002283544,0.0001523182,0.0002613717,0.0001917075,0.0002598,0.0003607995,0.0003294814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066576,"about_ca_system_score_gemma":0.0001997653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002932408,"about_ca_topic_score_gemma":0.000308598,"domain_scores_codex":[0.9998646,0.00003227434,0.000007888721,0.00003908206,0.0000318565,0.00002434908],"domain_scores_gemma":[0.9998977,0.00002194657,0.00003719053,0.00001338355,0.00001523298,0.00001446781],"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":[0.00001022702,0.000005172185,0.00003236648,0.00001428413,0.000001773255,0.00002718198,0.00001220686,0.00008987808,0.9988822,0.0001599532,0.00001275309,0.0007520044],"study_design_scores_gemma":[0.000002580346,0.00002931284,0.0000950421,7.971628e-7,0.000001682833,0.00003532625,0.000003903261,0.0007818841,0.9985505,0.0000141319,0.0004827631,0.000001986284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245443,0.001383614,0.07041588,0.000118164,0.00005111338,0.00007143247,0.00007817031,0.0002894539,0.00304782],"genre_scores_gemma":[0.9674488,0.000575379,0.02981859,0.00005235634,0.00000756047,0.00005925829,0.00006165485,0.00003905213,0.001937383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004781532,"threshold_uncertainty_score":0.00159955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233848899232498,"score_gpt":0.2799229405997839,"score_spread":0.2675844516074589,"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."}}