{"id":"W2803488466","doi":"10.1186/s13054-018-2027-8","title":"Association between afterhours admission to the intensive care unit, strained capacity, and mortality: a retrospective cohort study","year":2018,"lang":"en","type":"article","venue":"Critical Care","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Centre for Advancing Health Outcomes; University of Manitoba; Alberta Health; University of Calgary; University of Alberta; University of British Columbia; St. Paul's Hospital; Alberta Health Services","funders":"Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Medicine; Intensive care unit; Emergency medicine; Retrospective cohort study; Cohort; Multivariate analysis; Intensive care; Population; APACHE II; Cohort study; Internal medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002142596,0.0001645399,0.0003760266,0.00005776583,0.0002668759,0.00005557005,0.00008445171,0.0001159495,0.000113376],"category_scores_gemma":[0.005884414,0.0001057283,0.00006981391,0.000210213,0.0001211919,0.00005579481,0.0001377456,0.0002927023,0.00002239107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352647,"about_ca_system_score_gemma":0.00008331807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001820258,"about_ca_topic_score_gemma":0.000294688,"domain_scores_codex":[0.9985518,0.0001011491,0.000204852,0.0003538055,0.0005001741,0.0002882271],"domain_scores_gemma":[0.9962586,0.0001604197,0.00002907734,0.0003161012,0.002759755,0.000476035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002256178,0.00002493322,0.983465,0.00004795563,0.00009404621,0.00002407427,0.01524102,1.516803e-8,0.00001970703,0.0001147369,0.0004374708,0.0005084708],"study_design_scores_gemma":[0.0004467499,0.001685972,0.8871439,0.00009493242,0.0006072072,0.000003027846,0.1092034,0.000002071244,0.0001762496,0.0001445114,0.0003715344,0.000120454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901378,0.00009775504,0.00004269338,0.006642342,0.0002112259,0.001011626,0.0001262062,0.00005703761,0.001673294],"genre_scores_gemma":[0.9976619,0.000001520055,0.00008343864,0.001432778,0.0005342877,0.00003534529,0.00002999708,0.00001994411,0.0002008249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09632114,"threshold_uncertainty_score":0.7044618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04150541004151929,"score_gpt":0.367665289582662,"score_spread":0.3261598795411427,"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."}}