{"id":"W4400567693","doi":"10.1101/2024.07.10.24310212","title":"Personalised risk prediction tools for cryptococcal meningitis mortality to guide treatment stratification; a pooled analysis of two randomised-controlled trials","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Institute of Infection and Immunity","funders":"Medical Research Council; University College London Hospitals NHS Foundation Trust; National Institute for Health and Care Research; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Cryptococcal meningitis; Risk stratification; Medicine; Pooled analysis; Stratification (seeds); Meta-analysis; Internal medicine; Intensive care medicine; Human immunodeficiency virus (HIV); Family medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1109626,0.004135337,0.01560976,0.004643056,0.0004543761,0.00432931,0.00260157,0.003845698,0.004472833],"category_scores_gemma":[0.1665283,0.001517643,0.03979107,0.003831934,0.001192266,0.002835672,0.003010681,0.00302001,0.0004815783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806348,"about_ca_system_score_gemma":0.002264737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549205,"about_ca_topic_score_gemma":0.001729785,"domain_scores_codex":[0.8568429,0.1140887,0.01624067,0.006174447,0.005119502,0.001533752],"domain_scores_gemma":[0.8773629,0.08140561,0.02235603,0.01185157,0.005909104,0.001114693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.08026297,0.0002017451,0.01347716,0.03915485,0.8456272,0.0001001715,0.0001812696,0.00271664,0.0003492028,0.000529081,0.001475829,0.01592379],"study_design_scores_gemma":[0.06813222,0.004487445,0.02275076,0.006119499,0.8854973,0.0001185307,0.0001681576,0.00633357,0.0004678842,0.00256246,0.003181966,0.0001802353],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3350116,0.5055313,0.09545176,0.004156466,0.004215765,0.03143278,0.01821107,0.00111162,0.004877547],"genre_scores_gemma":[0.9306231,0.01834954,0.0232209,0.001404408,0.000644521,0.02015175,0.004638171,0.0001530591,0.0008144692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1109626,"threshold_uncertainty_score":0.5868335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09849645116660029,"score_gpt":0.4038319512188789,"score_spread":0.3053355000522786,"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."}}