{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330717,0.0001298626,0.0002136213,0.0001785135,0.0002169765,0.0000369584,0.0000256037,0.0001882403,9.001963e-7],"category_scores_gemma":[0.0003613104,0.0001112508,0.00001494982,0.0003160916,0.00007657281,0.00007528334,0.0001059761,0.0001933998,0.000004375414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028809,"about_ca_system_score_gemma":0.00004769499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277895,"about_ca_topic_score_gemma":0.000006970392,"domain_scores_codex":[0.9992386,0.00001258691,0.0003387316,0.0001483215,0.00009139286,0.0001704119],"domain_scores_gemma":[0.9995772,0.00007896859,0.00011852,0.0001359139,0.00006307448,0.00002635782],"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":[0.00004810778,0.0005349132,0.2868612,0.0006197941,0.0001375105,0.00003848406,0.001339451,0.000004968572,0.2058774,0.0002430511,0.0001561765,0.5041389],"study_design_scores_gemma":[0.001294006,0.0003759306,0.05522119,0.0001607635,0.00003924739,0.0002518777,0.001051749,0.2637554,0.6751253,0.0001135466,0.002414162,0.0001968401],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233875,0.0000223476,0.07520576,0.0004217798,0.00007569786,0.0005279941,0.000005322825,0.0002084518,0.0001450939],"genre_scores_gemma":[0.9629395,0.000002659116,0.03678614,0.0001939686,0.00001388746,0.0000168198,0.00003269298,0.000004509724,0.000009797683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5039421,"threshold_uncertainty_score":0.4536677,"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."}}