{"id":"W3092431826","doi":"10.1097/ccm.0000000000004633","title":"Characterizing the Patients, Hospitals, and Data Quality of the eICU Collaborative Research Database*","year":2020,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Interquartile range; Intubation; Psychological intervention; Intensive care; Emergency medicine; Observational study; Health care; Intensive care medicine; Descriptive statistics; MEDLINE; Database; Medical emergency; Internal medicine; Nursing; Surgery","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06715961,0.0004261544,0.001146155,0.01008393,0.001157622,0.004319901,0.002437663,0.001020677,0.00128925],"category_scores_gemma":[0.2433468,0.0006003976,0.0007495004,0.02070874,0.0008936176,0.003024391,0.003418463,0.0009525088,0.0003400049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309656,"about_ca_system_score_gemma":0.006485163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02630653,"about_ca_topic_score_gemma":0.02583692,"domain_scores_codex":[0.8858589,0.04485537,0.03226263,0.01029661,0.02331004,0.003416414],"domain_scores_gemma":[0.6807247,0.1498433,0.09511503,0.02587836,0.04341877,0.005019823],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002149289,0.00007309896,0.9788563,0.0003249607,0.0002065581,0.00005459821,0.0008436477,0.0004700914,0.0001314921,0.0008076457,0.005921758,0.01209494],"study_design_scores_gemma":[0.00009110771,0.0001890916,0.9779224,0.0006158958,0.0001951884,0.000428529,0.001776157,0.005190589,0.0006301726,0.0006470545,0.01224206,0.00007173913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373727,0.003882298,0.01432796,0.004099731,0.00007012113,0.00189301,0.1320254,0.0003025106,0.006026366],"genre_scores_gemma":[0.8848686,0.0007071039,0.01992547,0.0009644027,0.00009992945,0.002531586,0.09049407,0.00009985163,0.0003091008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9328404,"threshold_uncertainty_score":0.3551782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3583041751208953,"score_gpt":0.5083512584104836,"score_spread":0.1500470832895883,"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."}}