{"id":"W4376224452","doi":"10.1097/cce.0000000000000912","title":"Forecasting ICU Census by Combining Time Series and Survival Models","year":2023,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Western University","funders":"London Health Sciences Centre","keywords":"Census; Mean absolute percentage error; Observational study; Emergency medicine; Medicine; Computer science; Mean squared error; Statistics; Mathematics; Internal medicine; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003983929,0.000769565,0.0005954913,0.001446716,0.0002832383,0.0008655603,0.0006373455,0.0007362405,0.0006401379],"category_scores_gemma":[0.01095109,0.0003588249,0.0006576421,0.0009589453,0.0002698466,0.0008455375,0.000452085,0.0008797328,0.0001858298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284218,"about_ca_system_score_gemma":0.001139762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.041301,"about_ca_topic_score_gemma":0.02934767,"domain_scores_codex":[0.9992195,0.0003727873,0.00006006919,0.0001767668,0.0001034458,0.00006744955],"domain_scores_gemma":[0.994125,0.004084304,0.0007940936,0.000203736,0.0006403332,0.0001525138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002957062,0.00003045089,0.01894299,0.000008399984,0.00003685247,0.00002471403,0.00002691943,0.9692867,0.0001072111,0.0004294078,0.0002144128,0.01086228],"study_design_scores_gemma":[0.000001742094,0.000008450438,0.001042842,0.000001984123,0.000003891992,0.000003637609,0.000006160601,0.9984956,0.0000451242,0.0003409942,0.00004632099,0.000003248865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6672239,0.000285111,0.328835,0.0007247727,0.00008172626,0.0001211407,0.0007991797,0.0005939985,0.001335313],"genre_scores_gemma":[0.9564269,0.0001352909,0.04182949,0.00006158993,0.00005216045,0.00005942101,0.0008053955,0.00002120666,0.0006086052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.041301,"threshold_uncertainty_score":0.08212125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.250140240496637,"score_gpt":0.3762902388316335,"score_spread":0.1261499983349966,"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."}}