{"id":"W4409388104","doi":"10.1016/j.tvjl.2025.106356","title":"Visual recombinase aided amplification technology for detecting feline coronavirus","year":2025,"lang":"en","type":"article","venue":"The Veterinary Journal","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)","keywords":"Coronavirus disease 2019 (COVID-19); Coronavirus; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Recombinase; 2019-20 coronavirus outbreak; Recombinase Polymerase Amplification; Computer science; Biology; Medicine; Genetics; Infectious disease (medical specialty); Pathology; Loop-mediated isothermal amplification; DNA; Recombination","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":[0.001049549,0.000104226,0.0002497385,0.0002454635,0.0004018447,0.00002409427,0.0001809118,0.00008539369,0.00004066422],"category_scores_gemma":[0.001023912,0.00007144665,0.0001100411,0.00020293,0.0001339688,0.00005466359,0.0001001657,0.0005092238,0.00001306827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055143,"about_ca_system_score_gemma":0.00008211587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006862263,"about_ca_topic_score_gemma":0.000002096457,"domain_scores_codex":[0.9987974,0.0001527533,0.0003720271,0.0001547186,0.00008813333,0.0004350396],"domain_scores_gemma":[0.9993523,0.00009348486,0.000114529,0.0001976019,0.0001515346,0.0000905976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007232961,0.0002382996,0.005563823,0.0001090139,0.0001932132,0.0002229987,0.00004353624,0.00001191817,0.4752924,0.0005440442,0.003881452,0.5066663],"study_design_scores_gemma":[0.04427674,0.1152517,0.1968716,0.003594121,0.0007769908,0.1145861,0.005622147,0.02479663,0.03344187,0.1189163,0.3406823,0.001183493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488959,0.0005304884,0.03317663,0.01652929,0.0003534522,0.0003527306,0.00000400524,0.00004845217,0.00010904],"genre_scores_gemma":[0.9949924,0.0003092446,0.003136464,0.0007550358,0.0002168632,0.00005699986,0.000008488299,0.00001234517,0.0005121832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5054829,"threshold_uncertainty_score":0.3090705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09173975365949737,"score_gpt":0.4425345819034318,"score_spread":0.3507948282439344,"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."}}