{"id":"W4412202151","doi":"10.3390/v17070970","title":"Molecular Detection of Various Non-Seasonal, Zoonotic Influenza Viruses Using BioFire FilmArray and GenXpert Diagnostic Platforms","year":2025,"lang":"en","type":"article","venue":"Viruses","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Saskatchewan; Canadian Food Inspection Agency; University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Influenza A virus subtype H5N1; Preparedness; Pandemic; Outbreak; Virology; Epidemiology; Highly pathogenic; Clade; Coronavirus disease 2019 (COVID-19); Virus; Biology; Veterinary medicine; Medicine; Phylogenetic tree; Disease; Infectious disease (medical specialty); Gene; Internal 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":[0.00149494,0.0009200286,0.0003269996,0.001398283,0.0003077404,0.0007060805,0.0005986557,0.0009648523,0.002709229],"category_scores_gemma":[0.001051002,0.0003165386,0.0004442821,0.0004637922,0.0002979622,0.0005669181,0.0003512268,0.0005055619,0.001043889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386232,"about_ca_system_score_gemma":0.000241696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073632,"about_ca_topic_score_gemma":0.002498713,"domain_scores_codex":[0.9987358,0.0002699818,0.0001126448,0.0004171467,0.0003467968,0.0001176083],"domain_scores_gemma":[0.9995368,0.0001732619,0.0001162771,0.00003495651,0.000107291,0.00003150922],"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":[0.0001844383,0.0000941419,0.007389103,0.0001891315,0.00003302127,0.00006233274,0.0001086275,0.0002257912,0.9788277,0.0001456074,0.0003956365,0.01234439],"study_design_scores_gemma":[0.00002831947,0.001079966,0.055415,0.00008690263,0.00009377402,0.001309654,0.0002509329,0.005786866,0.9275811,0.0002664867,0.008056005,0.00004495848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344384,0.006704411,0.1348986,0.0006472646,0.0002007623,0.001073544,0.007589105,0.001519016,0.01292911],"genre_scores_gemma":[0.5896621,0.004146809,0.3776652,0.001673762,0.00007825621,0.001530966,0.01234089,0.0001271713,0.01277491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002709229,"threshold_uncertainty_score":0.009063303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412318366279578,"score_gpt":0.3699415323996259,"score_spread":0.3058183487368301,"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."}}