{"id":"W3094549008","doi":"10.21769/bioprotoc.3789","title":"A Protocol for Simple, Rapid, and Direct Detection of SARS-CoV-2 from clinical samples, using Reverse Transcribed Loop-Mediated Isothermal Amplification (RT-LAMP)","year":2020,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Reverse Transcription Loop-mediated Isothermal Amplification; Loop-mediated isothermal amplification; Protocol (science); Population; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Coronavirus disease 2019 (COVID-19); Medicine; Virology; Biology; Environmental health; Reverse transcriptase; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002181537,0.0002617163,0.000437944,0.00007133379,0.00008151567,0.00004452194,0.0001106085,0.0002999809,0.00004297845],"category_scores_gemma":[0.000183149,0.0002419013,0.0001932769,0.0002999268,0.00009672072,0.0001400486,0.00001760211,0.0002066844,0.0000076876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004420059,"about_ca_system_score_gemma":0.00002778841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673975,"about_ca_topic_score_gemma":0.00004367255,"domain_scores_codex":[0.9982172,0.0001084051,0.0008098588,0.0004285194,0.0001704543,0.0002656137],"domain_scores_gemma":[0.9992207,0.0001661798,0.0001772575,0.0002212705,0.0000929058,0.0001216921],"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":[0.001260939,0.00007981609,0.0003633151,0.0006496444,0.00007037669,8.895466e-7,0.00006052405,0.00005485637,0.9713051,0.000006711528,0.0003379123,0.0258099],"study_design_scores_gemma":[0.006426432,0.0006490309,0.002653344,0.000106332,0.00006912991,0.000001405205,0.00003406688,0.2297626,0.6171457,0.0001028014,0.1426341,0.0004151836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0119693,0.000001225759,0.03707731,0.00005841184,0.00003963202,0.9503094,0.0002165839,0.0002819882,0.0000461432],"genre_scores_gemma":[0.05175877,6.166838e-7,0.002387251,0.0001185238,0.0002918697,0.9453611,0.00001998923,0.00005966699,0.000002210521],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3541595,"threshold_uncertainty_score":0.9864447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1680950188272221,"score_gpt":0.3673316180776863,"score_spread":0.1992365992504642,"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."}}