{"id":"W4415354429","doi":"10.2196/68476","title":"Estimating Antigen Test Sensitivity via Target Distribution Balancing: Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; National Institutes of Health; Broad Institute","keywords":"Sensitivity (control systems); Distribution (mathematics); Function (biology); Quality (philosophy); Basis (linear algebra); Logistic function; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04291017,0.001551436,0.001214557,0.001681998,0.0004410603,0.001272937,0.002049009,0.001617166,0.001808771],"category_scores_gemma":[0.06320968,0.0007817966,0.00201725,0.00128055,0.001506962,0.000912077,0.001818852,0.001464726,0.0009930042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198551,"about_ca_system_score_gemma":0.001612821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140927,"about_ca_topic_score_gemma":0.0008293304,"domain_scores_codex":[0.9828374,0.009026706,0.0008467801,0.003335557,0.003650444,0.000303046],"domain_scores_gemma":[0.9515958,0.03102674,0.003382148,0.005580198,0.007921211,0.0004938951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006521137,0.00348578,0.213024,0.001960965,0.003739289,0.000587622,0.001237933,0.2299363,0.07838202,0.005646605,0.00509466,0.4503838],"study_design_scores_gemma":[0.0007922596,0.01223107,0.07128835,0.000377971,0.001974012,0.002415127,0.0001783714,0.8050025,0.08886763,0.00443279,0.01218966,0.0002502981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4017819,0.003113924,0.5868751,0.0002326363,0.000118097,0.002275527,0.001141304,0.001319426,0.003142077],"genre_scores_gemma":[0.7693029,0.0006787277,0.2247063,0.000293162,0.00006357382,0.001756505,0.002007598,0.0002241568,0.000967126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04291017,"threshold_uncertainty_score":0.2269334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311194556231877,"score_gpt":0.2792224991168327,"score_spread":0.2661105535545139,"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."}}