{"id":"W4410281652","doi":"10.1093/cid/ciaf236","title":"Modeling the Impact and Cost of a Culture-Dependent Molecular Test for Antimicrobial Resistance in Resource-Limited Settings","year":2025,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Department of Health and Social Care; Global Innovation Fund","keywords":"Medicine; Turnaround time; Empiric therapy; Blood culture; Intensive care medicine; Limited resources; Antibiotic resistance; Emergency medicine; Molecular diagnostics; Health care; Cost effectiveness; Diagnostic test; Antibiotics; Sepsis; Internal medicine; Pathology; Bioinformatics; Risk analysis (engineering)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000408929,0.000104977,0.0001887999,0.00003430898,0.00008323696,0.00004647894,0.0001145549,0.0001121209,0.000001790144],"category_scores_gemma":[0.004557105,0.00008134377,0.0001507553,0.0001167859,0.0001290761,0.00000402415,0.00008236796,0.00008973734,2.95815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001501143,"about_ca_system_score_gemma":0.00008331392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002521857,"about_ca_topic_score_gemma":0.0001598359,"domain_scores_codex":[0.9989293,0.0001264803,0.0004446542,0.0003173916,0.0000438561,0.0001383751],"domain_scores_gemma":[0.9992083,0.0002213162,0.0001011851,0.0002772944,0.0001392395,0.00005262087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005567549,0.001290091,0.5052913,0.0003265819,0.0001725083,0.000002414013,0.00009090955,0.00260276,0.4794867,0.0001976212,0.007392533,0.002589901],"study_design_scores_gemma":[0.02001979,0.002111448,0.8268591,0.001763894,0.0009828279,0.00001204029,0.0008453134,0.04383546,0.07126933,0.008186105,0.02210346,0.002011237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960452,0.0005552009,0.002195885,0.0003108791,0.00006526672,0.0004999039,0.0001117608,0.0000162622,0.0001996233],"genre_scores_gemma":[0.9990309,0.00008394374,0.00005649432,0.0005045933,0.00005589786,0.00003587758,0.00009272325,0.000009350828,0.0001302507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082173,"threshold_uncertainty_score":0.545561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779998124715437,"score_gpt":0.3410607810657282,"score_spread":0.3232607998185738,"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."}}