{"id":"W2886951707","doi":"10.1186/s13054-018-2132-8","title":"Reassessing access to intensive care using an estimate of the population incidence of critical illness","year":2018,"lang":"en","type":"article","venue":"Critical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Medicine; Critically ill; Intensive care; Critical illness; Population; Incidence (geometry); Emergency medicine; Demography; Intensive care unit; Mortality rate; Intensive care medicine; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005137219,0.0001113704,0.0002776803,0.00005708831,0.0001353905,0.00003251762,0.0001282628,0.00007437958,0.0000419311],"category_scores_gemma":[0.003315823,0.00007757033,0.00007679286,0.0002083303,0.0003485753,0.0001823757,0.0001290971,0.0000784636,0.000001673542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381912,"about_ca_system_score_gemma":0.00008631028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004960097,"about_ca_topic_score_gemma":0.0001010754,"domain_scores_codex":[0.9989551,0.00006535736,0.0002537664,0.0002342305,0.0003049483,0.0001866552],"domain_scores_gemma":[0.995666,0.0001886168,0.0000319993,0.0003652695,0.003595208,0.0001529342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399083,0.000270137,0.9644412,0.001669183,0.00002321254,0.00005268435,0.01053097,0.00002864468,0.003222789,0.005795204,0.00004157249,0.01378447],"study_design_scores_gemma":[0.0003267136,0.00052473,0.8858545,0.00157538,0.0004408303,0.00004029994,0.02928091,0.000463818,0.08092996,0.0004136123,0.00001058375,0.0001386086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967456,0.0003521219,0.0003533563,0.001717516,0.0003939322,0.0002319812,0.00002996795,0.00001577612,0.0001597685],"genre_scores_gemma":[0.9969848,7.738824e-7,0.001927788,0.000859427,0.000185726,0.00001083198,0.00001392449,0.00001632212,4.129396e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07858668,"threshold_uncertainty_score":0.396959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035925638138787,"score_gpt":0.5141996257062853,"score_spread":0.3106070618924066,"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."}}