{"id":"W3120114060","doi":"10.1039/d0sc06113a","title":"Amplified detection of nucleic acids and proteins using an isothermal proximity CRISPR Cas12a assay","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep Society; Brock University","funders":"Fundamental Research Funds for the Central Universities; Brock University; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; National Natural Science Foundation of China","keywords":"CRISPR; Nucleic acid; Computational biology; Loop-mediated isothermal amplification; Molecular biology; Chemistry; Gene; Biology; DNA; Biochemistry","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":[0.0008856567,0.0009136195,0.0007241381,0.0007102989,0.0005236037,0.0007919435,0.0009336922,0.001214501,0.001463649],"category_scores_gemma":[0.001427537,0.0006002691,0.0005712452,0.0003854897,0.0008125834,0.0004983052,0.0009756279,0.002095585,0.001261648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639277,"about_ca_system_score_gemma":0.0005581159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004985247,"about_ca_topic_score_gemma":0.001159174,"domain_scores_codex":[0.9980338,0.0003302965,0.0001092633,0.000606152,0.0007792351,0.0001411963],"domain_scores_gemma":[0.9988807,0.0004416048,0.0002551271,0.0001150865,0.0001617846,0.0001456259],"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":[0.00002341402,0.00002271246,0.00008045413,0.00004990639,0.000005071447,0.00002369388,0.00002431846,0.000106158,0.9980866,0.0001042658,0.00005439216,0.001418928],"study_design_scores_gemma":[0.000004174693,0.00007209898,0.0003610991,0.000005200794,0.000008922189,0.0001178316,0.00001107312,0.001572421,0.9965852,0.00005925437,0.00118974,0.00001293862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3112704,0.002157918,0.6753127,0.0004684314,0.0002237914,0.0005660781,0.00127476,0.003175779,0.005550109],"genre_scores_gemma":[0.531949,0.001909625,0.4503146,0.0003707598,0.00008750396,0.001042014,0.001632488,0.0002493311,0.01244463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001463649,"threshold_uncertainty_score":0.004896402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438633674441786,"score_gpt":0.2990126319459826,"score_spread":0.2846262952015647,"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."}}