{"id":"W4409645587","doi":"10.1093/jaoacint/qsaf038","title":"Dual-Gene Based Recombinase-Aided Amplification (RAA) - Lateral Flow Strip for the Sensitive On-Site Detection of <i>Yersinia enterocolitica</i> in Food Samples","year":2025,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Ningbo; National Natural Science Foundation of China","keywords":"Yersinia enterocolitica; Detection limit; Biology; Recombinase Polymerase Amplification; Pathogen; Assay sensitivity; Gene; Polymerase chain reaction; Microbiology; Bacteria; Genetics; Chromatography; Chemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228009,0.0009277084,0.0004986264,0.0007740171,0.0001918115,0.0005433573,0.0006574619,0.0008912354,0.0007651945],"category_scores_gemma":[0.0009898329,0.0004174067,0.0004126978,0.0003070942,0.0005142454,0.0003688724,0.0004035481,0.0005971387,0.0006980404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031583,"about_ca_system_score_gemma":0.0003542783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600075,"about_ca_topic_score_gemma":0.0006394308,"domain_scores_codex":[0.9986104,0.0004199625,0.00008157947,0.0003885751,0.0004129701,0.00008650273],"domain_scores_gemma":[0.9992755,0.0002948588,0.0002067255,0.0000461425,0.0001360847,0.00004082926],"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":[0.00008523109,0.00005779076,0.001054379,0.00007245289,0.000009024051,0.00003347688,0.00003677744,0.0001179943,0.9946687,0.0000393146,0.00005687049,0.003768002],"study_design_scores_gemma":[0.00001262553,0.0003429534,0.003111301,0.00001296674,0.00002336485,0.0003469,0.00003369073,0.007012917,0.988139,0.00003214984,0.0009102258,0.000021973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293993,0.002065428,0.1640643,0.0002799895,0.0000811863,0.0004005107,0.0007178985,0.001379524,0.001611828],"genre_scores_gemma":[0.749172,0.00124361,0.2443698,0.0002914444,0.00003955029,0.0005715914,0.001028364,0.00006847567,0.003215149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228009,"threshold_uncertainty_score":0.006494403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741897279069795,"score_gpt":0.2942807520258834,"score_spread":0.2768617792351855,"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."}}