{"id":"W4316035031","doi":"10.1007/s12560-022-09548-7","title":"Rapid Detection of Hepatitis A Virus in Foods Using a Bioluminescent Assay in Real-Time (BART) and Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) Technology","year":2023,"lang":"en","type":"article","venue":"Food and Environmental Virology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment; University of Guelph; Canadian Animal Health Institute","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Villum Fonden","keywords":"Loop-mediated isothermal amplification; Hepatitis a virus; Reverse Transcription Loop-mediated Isothermal Amplification; Amplicon; Virology; Reverse transcription polymerase chain reaction; Biology; Real-time polymerase chain reaction; Reverse transcriptase; Chromatography; Food science; Virus; Chemistry; Polymerase chain reaction; Messenger RNA; Biochemistry; DNA","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":[0.0001248189,0.000116454,0.0001913162,0.0003427957,0.00002657136,0.000004095137,0.00002784163,0.0002067603,0.00001922962],"category_scores_gemma":[0.000007987022,0.0001277736,0.00002293741,0.0002778594,0.0001275989,0.00006435629,0.00001675382,0.0001240194,0.000008303383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000672118,"about_ca_system_score_gemma":0.00000170004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002451961,"about_ca_topic_score_gemma":0.0004108363,"domain_scores_codex":[0.9992633,0.00005084082,0.0002440953,0.000198439,0.00005278672,0.0001905114],"domain_scores_gemma":[0.9998295,0.0000225109,0.00003358381,0.00007982979,0.000001605548,0.00003300522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003992931,0.00003479932,0.006237007,0.00002742864,0.00001222787,0.000003675435,0.00007745918,0.0002968674,0.9846247,0.000005231846,0.000001218356,0.008639439],"study_design_scores_gemma":[0.001645457,0.0009428536,0.384414,0.00004602743,0.00003750889,0.00004393144,0.0002453349,0.3591203,0.2527383,0.0002120209,0.0002316925,0.0003224921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991355,0.0001880759,0.0003101587,0.00004935793,0.00005194523,0.0001506256,0.00003307321,0.00006942388,0.00001183066],"genre_scores_gemma":[0.9964575,0.003404327,0.000048512,0.000009767848,0.00001342914,0.00001432775,0.0000296111,0.00001712079,0.00000538623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7318864,"threshold_uncertainty_score":0.5210458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011897129504225,"score_gpt":0.1864638031783977,"score_spread":0.1763448318833555,"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."}}