{"id":"W4390940274","doi":"10.1101/2024.01.12.24301261","title":"Characterization of CXCL10 as a biomarker of respiratory tract infections detectable by open-source lateral flow immunoassay","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Respiratory viral infections research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada); University of British Columbia; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute; Sunnybrook Hospital; University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Ontario; McMaster University","keywords":"CXCL10; Biomarker; Rhinovirus; Respiratory tract; Saliva; Immunology; Immunoassay; Viral load; Respiratory tract infections; Biology; Microbiome; Virology; Virus; Chemokine; Respiratory system; Immune system; Antibody; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006394577,0.0005755874,0.000250746,0.000596285,0.0001706829,0.0005623536,0.0003909063,0.0006852196,0.001130012],"category_scores_gemma":[0.001146762,0.0001762198,0.0002769885,0.0002571834,0.000382712,0.0003564206,0.0003270619,0.0005429618,0.0004912831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219176,"about_ca_system_score_gemma":0.0003234926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006558869,"about_ca_topic_score_gemma":0.0008620691,"domain_scores_codex":[0.9994835,0.0001091939,0.00002902106,0.0001051519,0.0002050765,0.0000680505],"domain_scores_gemma":[0.9992266,0.0002297961,0.0001777804,0.00004916589,0.0002447814,0.00007191244],"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":[0.0001595185,0.00007829794,0.004466325,0.0001006034,0.00001353047,0.00009329118,0.00005877867,0.0004953976,0.985623,0.0002359363,0.0004105622,0.00826477],"study_design_scores_gemma":[0.00002688741,0.0005538999,0.01424197,0.0000395484,0.00002936385,0.0005047078,0.0001276374,0.03291019,0.9464135,0.0004740866,0.004627495,0.00005080958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660626,0.001977599,0.1239262,0.0007390766,0.0002769968,0.0004034423,0.002679495,0.001047903,0.0028867],"genre_scores_gemma":[0.9186962,0.0008571339,0.07334787,0.0005080143,0.00008257709,0.0003946875,0.002133343,0.00006493763,0.00391529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001130012,"threshold_uncertainty_score":0.003780305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457409750735767,"score_gpt":0.3562327115427976,"score_spread":0.3104917364692209,"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."}}