{"id":"W4389235709","doi":"10.1016/j.ijnss.2023.11.001","title":"Identification and information management of cognitive impairment of patients in acute care hospitals: An integrative review","year":2023,"lang":"en","type":"article","venue":"International Journal of Nursing Sciences","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; Australian Government","keywords":"Cognition; Identification (biology); Cognitive impairment; Acute care; Health care; Medicine; Nursing; Medical emergency; Psychology; Psychiatry","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":[0.000374355,0.00006474563,0.000173644,0.0006140948,0.00002080553,0.00001564039,0.0001288182,0.00001764681,0.000005998517],"category_scores_gemma":[0.0005652627,0.00005031161,0.0000524102,0.0004158043,0.0002664733,0.0008116898,0.00001853083,0.00006958634,0.00000120847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107688,"about_ca_system_score_gemma":0.00006355211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006202033,"about_ca_topic_score_gemma":0.000001100461,"domain_scores_codex":[0.9986769,0.00004139426,0.0005063055,0.00007522042,0.0006284124,0.00007178599],"domain_scores_gemma":[0.9917626,0.00005577792,0.0005342264,0.00003293123,0.007584048,0.00003042979],"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":[0.001270112,0.0009238349,0.1439911,0.0009907171,0.0009734871,0.0000723853,0.06085167,0.0000368138,0.0006571093,0.002176812,0.001533001,0.786523],"study_design_scores_gemma":[0.00132008,0.001298028,0.8497521,0.02931747,0.0001965593,0.00002025775,0.1152037,0.0001227948,0.002220895,0.0004693787,0.00001235055,0.00006635536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966047,0.0006242344,0.0002201277,0.001199793,0.0003706376,0.000298001,0.00003834986,0.00000329652,0.0006408445],"genre_scores_gemma":[0.9958522,0.003495571,0.0002070925,0.0003660875,0.000008018148,0.000003140093,0.00006019067,0.000002311942,0.000005414587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7864566,"threshold_uncertainty_score":0.2051648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509624958327239,"score_gpt":0.3687095040478024,"score_spread":0.35361325446453,"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."}}