{"id":"W4282922862","doi":"10.1039/d2lc00242f","title":"Automated sample-to-answer centrifugal microfluidic system for rapid molecular diagnostics of SARS-CoV-2","year":2022,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Point-of-care testing; Loop-mediated isothermal amplification; Computer science; Sample (material); Computational biology; Reliability engineering; Medicine; Engineering; Biology; Chemistry; Chromatography; Immunology; Infectious disease (medical specialty)","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":[0.0009285675,0.001297216,0.0006464602,0.0009707374,0.0006075123,0.0008159372,0.001180188,0.001073795,0.01603623],"category_scores_gemma":[0.0007455457,0.0005215844,0.0005084312,0.0003323947,0.000324942,0.0006326839,0.0008078272,0.0007491569,0.006393565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368907,"about_ca_system_score_gemma":0.0014597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007306875,"about_ca_topic_score_gemma":0.002262372,"domain_scores_codex":[0.998484,0.0002226925,0.0001163445,0.0004137853,0.0005996682,0.0001636388],"domain_scores_gemma":[0.9996827,0.000088168,0.00005656842,0.00004794795,0.00008372661,0.00004083016],"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":[0.0003872244,0.0003420429,0.001361731,0.0004882554,0.00007190342,0.0001357659,0.0001182043,0.0004968104,0.8981135,0.001836823,0.01327451,0.08337321],"study_design_scores_gemma":[0.000308942,0.0007999303,0.01238348,0.00008533379,0.00008239289,0.0007969789,0.00004617936,0.02092138,0.8062963,0.0008250552,0.1573148,0.0001393261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2550791,0.0118374,0.6618116,0.001732662,0.002007328,0.003780014,0.01059954,0.02140737,0.03174504],"genre_scores_gemma":[0.4916752,0.00425241,0.4155187,0.002018104,0.0005796576,0.006272826,0.0112642,0.0006534755,0.06776524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01603623,"threshold_uncertainty_score":0.05364656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489722558456378,"score_gpt":0.2370774461204621,"score_spread":0.2221802205358983,"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."}}