{"id":"W4414037412","doi":"10.1039/d5sd00102a","title":"Development of a broadly adaptable TR-FRET serological assay for sensitive and specific detection of infectious disease antibodies in human sera","year":2025,"lang":"en","type":"article","venue":"Sensors & Diagnostics","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Mitacs; Canada Foundation for Innovation; Ontario Research Foundation; Public Health Agency; Public Health Agency of Canada; Toronto Metropolitan University","keywords":"Serology; Antibody; Virology; Disease; Infectious disease (medical specialty); Biology; Zoonotic disease; Immunology; Medicine; Pathology","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":[0.001176683,0.001023209,0.0007552954,0.0005352737,0.0002310537,0.0005620642,0.00151367,0.001534627,0.0009382752],"category_scores_gemma":[0.0007729925,0.0005200511,0.0006025737,0.0003211783,0.0003265864,0.0004764695,0.0007512029,0.001432552,0.001089936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276419,"about_ca_system_score_gemma":0.0003137621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002850485,"about_ca_topic_score_gemma":0.0005845466,"domain_scores_codex":[0.998983,0.0002326478,0.00006572372,0.0003077623,0.0002970759,0.0001137458],"domain_scores_gemma":[0.999755,0.00005263612,0.00004685658,0.00003982032,0.00006766621,0.0000381003],"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":[0.0000229976,0.00004107773,0.0001583711,0.00004569992,0.0000110332,0.00003394734,0.00001696429,0.0001252158,0.9955362,0.0001050207,0.0001110091,0.003792414],"study_design_scores_gemma":[0.00001768385,0.0003605076,0.0006661529,0.00001185704,0.00002908676,0.000496624,0.00002395356,0.004481504,0.9903681,0.00008823085,0.003432614,0.00002372037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4831377,0.004216455,0.5003346,0.0008225958,0.0003685418,0.001111584,0.0009851278,0.002986554,0.006036787],"genre_scores_gemma":[0.6689147,0.002032388,0.3170134,0.0008856158,0.00006457821,0.001011773,0.001839935,0.0001237379,0.008113769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001534627,"threshold_uncertainty_score":0.006222963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291865414612654,"score_gpt":0.2534440202628704,"score_spread":0.2305253661167439,"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."}}