{"id":"W4379016247","doi":"10.1038/s41565-023-01384-5","title":"Nanoplasmonic amplification in microfluidics enables accelerated colorimetric quantification of nucleic acid biomarkers from pathogens","year":2023,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Jewish General Hospital; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Canada Research Chairs; University Health Network; McGill University","keywords":"Loop-mediated isothermal amplification; Microfluidics; Nucleic acid; Polymerase chain reaction; Molecular diagnostics; Rolling circle replication; Recombinase Polymerase Amplification; Nanotechnology; Nucleic acid quantitation; DNA; Materials science; Polymerase; Biology; Bioinformatics; Genetics; Gene","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":[0.0002529501,0.0002737178,0.0001749828,0.0002061797,0.0001692041,0.0004954275,0.0004873826,0.0004281856,0.0008863469],"category_scores_gemma":[0.0003777369,0.0002266891,0.0001707387,0.000115387,0.0002715129,0.0004292346,0.0005123314,0.0003746708,0.0004565306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005207919,"about_ca_system_score_gemma":0.0003200013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004623194,"about_ca_topic_score_gemma":0.001148037,"domain_scores_codex":[0.9997609,0.00002211939,0.00001366536,0.00007160439,0.00008872801,0.00004297835],"domain_scores_gemma":[0.9998246,0.00006001118,0.00004369201,0.00001820301,0.00002905429,0.00002436255],"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":[0.0000224195,0.00001090959,0.00005299285,0.0000192265,0.000001241154,0.00001685389,0.00001115936,0.00007274304,0.9971769,0.0003484595,0.00008800381,0.002179116],"study_design_scores_gemma":[0.000003947388,0.00003556982,0.0002309301,0.00000219958,0.000002354109,0.00004406072,0.000004245928,0.002772181,0.9953063,0.00008891221,0.001504814,0.000004435065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932936,0.002209467,0.09602846,0.000729981,0.0003358776,0.00008400907,0.000438662,0.001151312,0.005728539],"genre_scores_gemma":[0.9549142,0.0007560485,0.03835125,0.0003108968,0.00007306012,0.00006212192,0.0002121301,0.00006770134,0.005252548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008863469,"threshold_uncertainty_score":0.003778636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387325025169795,"score_gpt":0.2337948517369385,"score_spread":0.2199216014852406,"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."}}