{"id":"W4402189108","doi":"10.62675/2965-2774.20240150-en","title":"Update on the Epimed Monitor Adult ICU Database: 15 years of its use in national registries, quality improvement initiatives and clinical research","year":2024,"lang":"en","type":"review","venue":"Critical Care Science","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Benchmarking; Database; Medicine; National database; Intensive care unit; Quality management; Data quality; Quality (philosophy); Medical emergency; Business; Intensive care medicine; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003881144,0.0001819551,0.0007256325,0.0002773365,0.0001059144,0.0001250303,0.0002931522,0.0001236185,0.00002746496],"category_scores_gemma":[0.04037196,0.0001083801,0.0001518463,0.0009853605,0.002417598,0.0001675615,0.0003425387,0.0007850993,0.0000398021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897959,"about_ca_system_score_gemma":0.001599152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008489117,"about_ca_topic_score_gemma":0.00003430032,"domain_scores_codex":[0.9959669,0.0005146045,0.000745984,0.0007654786,0.00166551,0.0003415915],"domain_scores_gemma":[0.9910829,0.006739994,0.00007496749,0.0004904732,0.001392556,0.0002190947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008874567,0.001046212,0.001259923,0.02193853,0.0001540016,0.0003260322,0.0003343252,2.463829e-8,0.000007586872,0.3171225,0.003247123,0.654475],"study_design_scores_gemma":[0.002994577,0.005339788,0.06409066,0.1488702,0.002710446,0.00006008934,0.005270611,0.00004967563,0.0006283401,0.002048536,0.7665532,0.001383866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009240293,0.9855368,5.826642e-7,0.002070999,0.0003278822,0.001220265,0.001163763,0.00001287478,0.0004265961],"genre_scores_gemma":[0.08846799,0.9106761,0.0001250937,0.0002962868,0.0001266818,0.0001826174,0.00009115052,0.00001399344,0.00002013337],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7633061,"threshold_uncertainty_score":0.9677114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6397062123314665,"score_gpt":0.63069528468457,"score_spread":0.009010927646896483,"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."}}