{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001720412,0.00006868435,0.00007258546,0.0000159909,0.00005780726,0.00002192505,0.0001063976,0.00006519846,0.000005233176],"category_scores_gemma":[0.0001432522,0.00006663726,0.00002176584,0.0001575362,0.0002124182,0.000009206533,0.0001068889,0.00005336497,2.495586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001256592,"about_ca_system_score_gemma":0.00006827175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001427468,"about_ca_topic_score_gemma":0.000006684574,"domain_scores_codex":[0.9993249,0.00001229658,0.00009707884,0.0002855723,0.0001162654,0.000163922],"domain_scores_gemma":[0.9996066,0.000003612691,0.00002579169,0.000190152,0.0000829366,0.00009088305],"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":[0.000006770486,0.00002705475,0.0004223422,0.00001543825,0.000002172527,7.858611e-7,0.00003471571,0.00003696014,0.9969954,0.000009670644,5.995773e-7,0.002448017],"study_design_scores_gemma":[0.0001109515,0.00003891514,0.001954608,0.000007120335,0.000005025938,0.00003083972,0.00003938123,0.002267491,0.995322,0.00002576755,0.0001103226,0.00008749862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512913,0.000128957,0.04835273,0.0000119572,0.0000389358,0.00006758553,0.000002363981,0.000006636473,0.0000994794],"genre_scores_gemma":[0.9954357,0.000007029878,0.00445631,0.00002143307,0.00005576795,0.000003270155,0.000002387362,0.000006223142,0.0000119464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04414428,"threshold_uncertainty_score":0.2717389,"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."}}