{"id":"W4392755271","doi":"10.1016/j.ijnurstu.2024.104753","title":"A rapid review on current and potential uses of large language models in nursing","year":2024,"lang":"en","type":"review","venue":"International Journal of Nursing Studies","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Regina; University of British Columbia","funders":"","keywords":"CINAHL; Systematic review; Inclusion (mineral); MEDLINE; Nursing; Nursing literature; Medicine; Psychology; Computer science; Medical education; Alternative medicine; Pathology; Psychological intervention; Social psychology; Political science","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":[0.0005700178,0.0001924937,0.001171177,0.0006107108,0.00002480113,0.00001597455,0.0001218473,0.00007032129,0.000008120879],"category_scores_gemma":[0.0003392805,0.000132908,0.0003666939,0.0001712103,0.000102954,0.00008914902,0.00001932504,0.0005228874,0.000003980581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005325794,"about_ca_system_score_gemma":0.0002821023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004156937,"about_ca_topic_score_gemma":0.000001027958,"domain_scores_codex":[0.997933,0.0001100337,0.001181939,0.0001612381,0.0004732826,0.0001405515],"domain_scores_gemma":[0.9985572,0.0001717486,0.0006083102,0.00009012214,0.0005193409,0.00005324153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003931569,0.0003440213,0.000002181252,0.01368784,0.0003025787,0.00006748842,0.003426828,0.0000017099,4.22714e-7,0.0004784012,0.003423393,0.9782258],"study_design_scores_gemma":[0.0000670075,0.0002456915,0.000005469966,0.9474559,0.002178723,0.000682458,0.002281253,0.00003751684,0.000006451809,0.002045315,0.04488209,0.0001121079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002464991,0.9926097,0.00006301577,0.002468633,0.004183488,0.0002674937,0.00001811847,0.000005319947,0.0001377511],"genre_scores_gemma":[0.004551602,0.9942469,0.00009123706,0.00009479158,0.0009490171,0.000006422788,0.00001126295,0.00001934193,0.00002942909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9781137,"threshold_uncertainty_score":0.5419831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4013113073904104,"score_gpt":0.6058752060556849,"score_spread":0.2045638986652745,"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."}}