{"id":"W4387296263","doi":"10.1097/ncm.0000000000000658","title":"Implementation of a Modified Early Screening for Discharge Tool to Optimize Case Manager Efficiency and Impact Length of Stay","year":2023,"lang":"en","type":"article","venue":"Professional Case Management","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Patient discharge; Case management; Computer science; Discharge planning; Operations management; MEDLINE; Process management; Business; Medicine; Nursing; Engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356263,0.0001575759,0.0002915238,0.0003171533,0.0001162641,0.00001125387,0.00003944856,0.000030898,0.00008455372],"category_scores_gemma":[0.00002438172,0.00011437,0.0001219891,0.0003112899,0.00002138113,0.00006729465,0.0001661567,0.00004589661,0.000004161559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005066029,"about_ca_system_score_gemma":0.00001924822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003776669,"about_ca_topic_score_gemma":0.00002062777,"domain_scores_codex":[0.9987412,0.00003484621,0.0003851163,0.0002887366,0.0002910511,0.0002590357],"domain_scores_gemma":[0.99929,0.0001391611,0.0001628005,0.0002128683,0.00008443929,0.0001107527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006951546,0.005751163,0.2720473,0.007905652,0.007100306,0.04832245,0.01546807,0.005722363,0.001638415,0.02610631,0.01813567,0.5848507],"study_design_scores_gemma":[0.02973738,0.005748223,0.8832361,0.001446046,0.002877814,0.001768588,0.04431611,0.02143089,0.00754863,0.0004880942,0.0005002452,0.0009019378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993323,0.00006323813,0.002911291,0.0005484768,0.00008099002,0.002753753,0.0001878756,0.00002894673,0.0001024602],"genre_scores_gemma":[0.9925666,0.00002500486,0.006141962,0.0000912221,0.00002247245,0.000626204,0.00007383837,0.0000212477,0.0004314868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6111888,"threshold_uncertainty_score":0.4663872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107959447614142,"score_gpt":0.4398593543372881,"score_spread":0.3290634095758739,"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."}}