{"id":"W4368363593","doi":"10.1093/ofid/ofad245","title":"Two clinical prediction tools to inform rapid tuberculosis treatment decision-making in children","year":2023,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Global Affairs Canada; Harvard University; Fondation pour la Recherche Médicale; Dubai Harvard Foundation for Medical Research; National Institutes of Health","keywords":"Medicine; Tuberculosis; Clinical decision making; Intensive care medicine; Pathogenic organism; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007555569,0.00026019,0.0007239433,0.0005631733,0.0002577224,0.0001535031,0.0002590498,0.0001394456,0.0005463721],"category_scores_gemma":[0.004096901,0.0002050121,0.0003135516,0.001240207,0.00007196038,0.0004522087,0.0005015375,0.0002241308,0.001255212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508164,"about_ca_system_score_gemma":0.0002653881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008019264,"about_ca_topic_score_gemma":0.0007604834,"domain_scores_codex":[0.9972687,0.0001965041,0.0008069135,0.0006081919,0.0003224909,0.0007971641],"domain_scores_gemma":[0.9973961,0.001199705,0.00008636207,0.0005935539,0.00009377827,0.0006304934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004958675,0.0004597593,0.6936148,0.000005915747,0.0002047243,0.00002838063,0.00002724787,0.0002707894,0.000004590087,0.0001307877,0.01938898,0.2853682],"study_design_scores_gemma":[0.003828923,0.002396482,0.9841788,0.0001924685,0.0001136482,0.00006824776,0.00008476644,0.0006279516,0.00001023696,0.0009894307,0.007326426,0.0001826354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813792,0.0001471237,0.00004764516,0.003425484,0.0002815643,0.002746936,0.0003630343,0.0002643011,0.01134477],"genre_scores_gemma":[0.9941906,0.0009679,0.0001388967,0.003047463,0.0002200256,0.0007593377,0.0004737512,0.00003863225,0.0001634113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.290564,"threshold_uncertainty_score":0.9995224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04715581150294445,"score_gpt":0.4226625169463939,"score_spread":0.3755067054434494,"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."}}