{"id":"W4400606399","doi":"10.1021/acs.analchem.4c02087","title":"CRISPR/Cas13a-Responsive and RNA-Bridged DNA Hydrogel Capillary Sensor for Point-of-Care Detection of RNA","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; University of Science and Technology Beijing; University of Alberta","keywords":"RNA; Chemistry; Nucleic acid; DNA; CRISPR; Biophysics; Chromatography; Molecular biology; Biochemistry; Biology; Gene","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":[0.0003893224,0.000525167,0.0004590785,0.0003681949,0.0002067337,0.0004224658,0.000792196,0.0009964914,0.001174712],"category_scores_gemma":[0.000518446,0.0002958874,0.0004050306,0.0002624111,0.0003717521,0.0004954278,0.0003585043,0.0007665835,0.0005631864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007055249,"about_ca_system_score_gemma":0.0004273804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006993905,"about_ca_topic_score_gemma":0.001676196,"domain_scores_codex":[0.999388,0.00006160491,0.00003035085,0.0001710866,0.0003001629,0.00004883585],"domain_scores_gemma":[0.9995257,0.0001577584,0.0001103663,0.00002547002,0.0001197394,0.00006103954],"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":[0.00001375486,0.00001278402,0.0000841002,0.00005497933,0.000006128415,0.0000397165,0.00001165174,0.00009271142,0.9968489,0.0001135931,0.0001052924,0.002616283],"study_design_scores_gemma":[0.000003125034,0.00006384435,0.0003224655,0.000003544486,0.000006670803,0.0001516796,0.000008083858,0.00235635,0.9959667,0.00003268441,0.001073282,0.00001163813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6526934,0.009415098,0.3253049,0.0007127556,0.0004521296,0.0003814044,0.001265341,0.002868808,0.006906134],"genre_scores_gemma":[0.7590259,0.003425387,0.2270456,0.0006877604,0.00007305991,0.0004019361,0.00080204,0.0001151618,0.008423238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001174712,"threshold_uncertainty_score":0.005118966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007482633897612902,"score_gpt":0.2793424853068605,"score_spread":0.2718598514092476,"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."}}