{"id":"W4404917446","doi":"10.2196/54297","title":"Using ChatGPT in Nursing: Scoping Review of Current Opinions","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Strengths and weaknesses; MEDLINE; Web of science; Nursing; Data extraction; Nursing practice; Medicine; Nursing literature; Psychology; Alternative medicine; Meta-analysis; Political science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625019,0.00007272879,0.0001997303,0.0001469173,0.0000257666,0.000007417345,0.00005430295,0.00008371626,0.000657726],"category_scores_gemma":[0.0009149126,0.0000648636,0.0000548348,0.0005677242,0.00007416296,0.00008349131,0.000007447182,0.0003393873,0.00003063548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502942,"about_ca_system_score_gemma":0.007427835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009439821,"about_ca_topic_score_gemma":0.000009220164,"domain_scores_codex":[0.9986866,0.00005289662,0.0005652202,0.0001837679,0.0003610153,0.0001504918],"domain_scores_gemma":[0.9993727,0.00009364455,0.00005917675,0.000156978,0.0001238994,0.0001936448],"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":[0.000006683112,0.0005926879,0.001173387,0.03749725,0.000002740008,0.000001068197,0.00221386,2.578101e-7,0.00002816279,0.002213794,0.004083538,0.9521866],"study_design_scores_gemma":[0.00002218162,0.00005180086,0.0008503821,0.9925753,0.00002685385,0.00004059741,0.0005984645,0.001428901,0.0003908151,0.00106013,0.002878655,0.00007593165],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2041005,0.6867385,0.001927385,0.08663459,0.01405531,0.003658965,0.000003150708,0.0001178852,0.002763674],"genre_scores_gemma":[0.9400808,0.05459474,0.00053029,0.002237329,0.002004092,0.0003025821,0.0001754469,0.00002586931,0.00004883676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9550781,"threshold_uncertainty_score":0.9981991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2636556239978542,"score_gpt":0.6146995006587752,"score_spread":0.351043876660921,"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."}}