{"id":"W4379966658","doi":"10.1002/smll.202303007","title":"Nucleic Acid Enzyme‐Activated CRISPR‐Cas12a With Circular CRISPR RNA for Biosensing","year":2023,"lang":"en","type":"article","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"CRISPR; Trans-activating crRNA; Nucleic acid; RNA; DNA; Ribozyme; Deoxyribozyme; Biology; Computational biology; Cas9; Genetics; Gene","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":[0.0003061479,0.0004878322,0.0003690991,0.0002729818,0.0001752336,0.000544408,0.0004734448,0.0006477713,0.001152378],"category_scores_gemma":[0.0003607712,0.0002447111,0.0003535417,0.0002329423,0.0004050361,0.0002764925,0.0003909865,0.0006445383,0.000587648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004782209,"about_ca_system_score_gemma":0.0004334701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007187165,"about_ca_topic_score_gemma":0.001288818,"domain_scores_codex":[0.9995052,0.00007033308,0.00003229306,0.000143205,0.0002071905,0.00004175216],"domain_scores_gemma":[0.9998233,0.00004601491,0.00004953332,0.00002604103,0.0000333695,0.00002170637],"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":[0.00003750139,0.00001528855,0.00009516047,0.00006014416,0.000007588089,0.00004536687,0.0000124133,0.000261266,0.9926724,0.0005240122,0.0001496217,0.006119241],"study_design_scores_gemma":[0.00000673163,0.00008549742,0.0002651674,0.000004105881,0.000008391947,0.0001498823,0.000006402866,0.003659291,0.9913026,0.0001161847,0.004384943,0.00001083302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5015587,0.01015767,0.4615621,0.0008659368,0.0005630875,0.0006094939,0.001092757,0.004408739,0.01918155],"genre_scores_gemma":[0.853884,0.001970471,0.1343897,0.0003052724,0.00004039536,0.0001985029,0.0004847173,0.00009366344,0.008633162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152378,"threshold_uncertainty_score":0.00385505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912628491050564,"score_gpt":0.2727656974451895,"score_spread":0.2536394125346838,"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."}}