{"id":"W4416571445","doi":"10.1093/nar/gkaf1293","title":"CRISPR/Cas12a2 enables ultra-sensitive amplification-free RNA detection","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Evaluation Institute of Industrial Technology; Korea Environmental Industry and Technology Institute; National Research Foundation of Korea; Korea Health Industry Development Institute; Ministry of Health and Welfare; Ministry of Science and ICT, South Korea; Ministry of Environment; Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries; Ministry of Agriculture, Food and Rural Affairs; Korea Research Institute of Bioscience and Biotechnology; Ministry of Trade, Industry and Energy; Ministry of Environment - Saskatchewan; National Research Foundation","keywords":"CRISPR; RNA; Trans-activating crRNA; Guide RNA; Cas9; Complementarity (molecular biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657001,0.000800849,0.0007100442,0.0005055322,0.0002961183,0.0008891725,0.0009081374,0.00114218,0.001354454],"category_scores_gemma":[0.0007534602,0.0004902301,0.0005117428,0.0002896012,0.0005131671,0.000464615,0.0007237577,0.001297523,0.001108811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103695,"about_ca_system_score_gemma":0.0004756503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006476429,"about_ca_topic_score_gemma":0.001149647,"domain_scores_codex":[0.9986178,0.0001950803,0.0001224678,0.0003905527,0.0005645761,0.0001094986],"domain_scores_gemma":[0.9996178,0.00009663121,0.0001007631,0.00005330175,0.00007507511,0.00005631613],"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":[0.0000488178,0.00001251898,0.0001033642,0.00009040299,0.00001061576,0.00005543263,0.00001572282,0.0004018618,0.9927559,0.0005096417,0.0003362519,0.005659336],"study_design_scores_gemma":[0.000008004426,0.00006880786,0.0003090694,0.00000681983,0.00001068054,0.0002094971,0.000006822309,0.004451395,0.9868312,0.0001375743,0.007940534,0.00001963687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3098407,0.005669708,0.6595715,0.0008484637,0.0003444985,0.0004772445,0.003182794,0.009298782,0.01076631],"genre_scores_gemma":[0.6809058,0.002342917,0.3018202,0.0003572256,0.00006678783,0.0004513318,0.002554346,0.0004250477,0.01107637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001354454,"threshold_uncertainty_score":0.004531085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060459903448532,"score_gpt":0.360625925873777,"score_spread":0.3400213268392917,"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."}}