{"id":"W4394611206","doi":"10.1021/jacsau.4c00232","title":"Engineering Gene-Specific DNAzymes for Accessible and Multiplexed Nucleic Acid Testing","year":2024,"lang":"en","type":"article","venue":"JACS Au","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Sichuan University; National Natural Science Foundation of China","keywords":"Deoxyribozyme; Nucleic acid; Computational biology; Multiplexing; Computer science; DNA; Biology; Genetics; Telecommunications","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":[0.0009778977,0.0007093442,0.0004331713,0.0004478043,0.0001245342,0.0007796532,0.0007619275,0.0011022,0.001126145],"category_scores_gemma":[0.0014894,0.0005192079,0.0004408977,0.0002754085,0.0005318368,0.0006005547,0.0006382856,0.0009882842,0.001023041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395494,"about_ca_system_score_gemma":0.0002249736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001636971,"about_ca_topic_score_gemma":0.0003155572,"domain_scores_codex":[0.998778,0.0001763208,0.00008537038,0.0004490615,0.0004044223,0.0001067161],"domain_scores_gemma":[0.9992077,0.0002868501,0.0002369848,0.00009442,0.0001170746,0.00005695892],"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":[0.00002980752,0.00002464446,0.0001431978,0.00005828842,0.00000720857,0.00003803295,0.00002449833,0.000304521,0.9933652,0.0003590741,0.00008506593,0.005560382],"study_design_scores_gemma":[0.000007689167,0.00008562663,0.0002178857,0.000004504911,0.000005048727,0.00007785872,0.000008096092,0.001847828,0.9956252,0.0001052633,0.002006346,0.000008651522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3176845,0.001496324,0.6709225,0.0004199253,0.0002299322,0.0008909209,0.0009871748,0.003147934,0.004220838],"genre_scores_gemma":[0.4979442,0.001275398,0.4911409,0.000305092,0.00005094915,0.001247716,0.001012727,0.0002664026,0.00675659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001126145,"threshold_uncertainty_score":0.005171716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186080429532427,"score_gpt":0.2740871244387039,"score_spread":0.2522263201433796,"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."}}