{"id":"W4388129991","doi":"10.1016/j.nepr.2023.103825","title":"Prompt engineering when using generative AI in nursing education","year":2023,"lang":"en","type":"editorial","venue":"Nurse Education in Practice","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Generative grammar; Nursing; Nurse education; Medical education; Psychology; Medicine; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01719326,0.002725296,0.002380894,0.004103363,0.004049768,0.0115958,0.00442099,0.03281457,0.01057767],"category_scores_gemma":[0.07094783,0.001490287,0.002862164,0.001500646,0.005302697,0.004468889,0.002222855,0.03528119,0.006767261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00410981,"about_ca_system_score_gemma":0.004577909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606224,"about_ca_topic_score_gemma":0.01435675,"domain_scores_codex":[0.9874567,0.004248296,0.001370793,0.0008110935,0.00570678,0.0004063256],"domain_scores_gemma":[0.9306763,0.05060093,0.001505264,0.001314481,0.01282136,0.003081635],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003234212,0.00001424228,0.00001632324,0.0003583298,0.00003052277,0.0001400878,0.00004820406,0.00006840497,0.00005184389,0.001136115,0.9874244,0.01067905],"study_design_scores_gemma":[0.00009997423,0.00003494876,0.000149706,0.0009785886,0.0001229184,0.0002486139,0.00009842614,0.0004938736,0.0001893458,0.004596778,0.9929534,0.00003339058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003316972,0.004570143,0.0007920169,0.04930984,0.9428831,0.00002701961,0.00002634751,0.0001010547,0.002257257],"genre_scores_gemma":[0.0009971993,0.004557198,0.0007623127,0.03693726,0.9454729,0.00005830657,0.00001791478,0.00009580382,0.01110119],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9828067,"threshold_uncertainty_score":0.09092772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07777681735043754,"score_gpt":0.514106036128074,"score_spread":0.4363292187776365,"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."}}