{"id":"W6963997104","doi":"10.25453/plabs.28303817","title":"Investing in sepsis science for future pandemic preparedness","year":2025,"lang":"en","type":"article","venue":"Frontiers","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Preparedness; Cornerstone; Sepsis; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Global health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211211,0.00008346021,0.0001907177,0.0002315803,0.00008477538,0.00001781116,0.00008305388,0.00004885574,0.000005781034],"category_scores_gemma":[0.0001987868,0.00006862654,0.00005252176,0.0005160313,0.00009671022,0.00006775975,0.00002517351,0.00005880831,0.000001510479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003515094,"about_ca_system_score_gemma":0.0003361001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000458755,"about_ca_topic_score_gemma":0.00003399576,"domain_scores_codex":[0.9992465,0.000008251295,0.000141387,0.0002653972,0.0001147816,0.0002236585],"domain_scores_gemma":[0.9996307,0.00003291,0.00002998637,0.0001811291,0.00005823684,0.00006705849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004518844,0.0000914422,0.9461924,0.00004876685,0.0000339701,0.000004028387,0.0007598054,0.00001085851,0.0001806146,0.0002658764,0.03557052,0.01679653],"study_design_scores_gemma":[0.004667412,0.0001970423,0.9217328,0.0005164938,0.0002268783,0.000005813436,0.008363985,0.002552969,0.003617482,0.001911012,0.05599688,0.0002112554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901849,0.001982988,0.0005679738,0.001908306,0.001175316,0.0005908012,0.000005013929,0.00005036424,0.003534361],"genre_scores_gemma":[0.9876828,0.00008609578,0.009878369,0.001246725,0.00009127219,0.0002033322,0.00001024518,0.000007696203,0.0007935142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02445962,"threshold_uncertainty_score":0.2798509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318831080602391,"score_gpt":0.3707180433744787,"score_spread":0.3175297325684547,"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."}}