{"id":"W4241384505","doi":"10.1186/s40560-019-0421-1","title":"Correction to: To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the critical care information system (CCIS) Ontario, Canada","year":2020,"lang":"en","type":"erratum","venue":"Journal of Intensive Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Western University","funders":"","keywords":"Medicine; Emergency medicine; Medical emergency","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":[0.000107734,0.0002945687,0.0006055101,0.0001012105,0.0002266982,0.00006398645,0.0001409189,0.0001967588,0.00001572106],"category_scores_gemma":[0.001406649,0.0001570317,0.0001079058,0.0001999159,0.00003570938,0.0001467836,0.00008509781,0.0008826358,4.37114e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961081,"about_ca_system_score_gemma":0.003456833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4039184,"about_ca_topic_score_gemma":0.6802058,"domain_scores_codex":[0.9978114,0.00005388951,0.0007262986,0.0002252869,0.00100123,0.0001818444],"domain_scores_gemma":[0.9887059,0.0001886011,0.0004989873,0.0002421127,0.01009071,0.0002737252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001609732,0.0000296873,0.09087836,0.001112035,0.0009703094,0.0001251774,0.04912034,0.006631754,0.00002305321,0.00001768785,0.8492411,0.0002407397],"study_design_scores_gemma":[0.001919808,0.001235107,0.5477375,0.02428675,0.002043773,0.0008497856,0.3834992,0.003724614,0.0004250174,0.000003316506,0.03392512,0.0003500059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428669,0.004389567,0.001607646,0.01667131,0.02889788,0.002619647,0.001095285,0.00004315082,0.001808587],"genre_scores_gemma":[0.9940507,0.00004957905,0.0001819598,0.004655354,0.0006549759,0.00004170456,0.0001595035,0.00002880666,0.0001774583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.815316,"threshold_uncertainty_score":0.7743124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588384230619706,"score_gpt":0.2815940409788553,"score_spread":0.2357101986726582,"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."}}