{"id":"W4360601282","doi":"10.1097/01.naj.0000925432.32700.db","title":"Preparing Nurses to Use Electronic Health Records","year":2023,"lang":"en","type":"article","venue":"AJN American Journal of Nursing","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Documentation; Health records; Nursing documentation; Nursing records; Nursing; Psychology; MEDLINE; Medical education; Medicine; Nursing care; Health care; Computer science; 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":[0.0006326202,0.0001836219,0.0004640667,0.000633663,0.0002385443,0.0001896835,0.0002105555,0.00002667063,0.00001336459],"category_scores_gemma":[0.0002362634,0.0001838133,0.0001560447,0.001411463,0.0001230761,0.0005748314,0.00001252514,0.0002986255,0.00004473257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184,"about_ca_system_score_gemma":0.0001384939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002465126,"about_ca_topic_score_gemma":0.00002635671,"domain_scores_codex":[0.9976652,0.0002350205,0.0006506421,0.0002450359,0.0004529998,0.0007511264],"domain_scores_gemma":[0.9983189,0.0002821397,0.0007241589,0.0002174699,0.0001355766,0.0003217833],"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":[0.0005142342,0.0001826367,0.007070767,0.000008033154,0.00003586056,0.000006186056,0.007640547,0.0007945703,0.00151351,0.00008662323,0.07136375,0.9107833],"study_design_scores_gemma":[0.004573714,0.0473731,0.6376401,0.01323592,0.0006051559,0.001640368,0.0547204,0.002588427,0.01826586,0.008128908,0.2089121,0.002315953],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790445,0.0001316303,0.0006491933,0.01568211,0.003863308,0.0002085533,0.000002593771,0.000118036,0.0003000655],"genre_scores_gemma":[0.9945983,0.00008609642,0.003164738,0.001596138,0.0003921243,0.000004049361,0.000004989343,0.00005628667,0.00009723179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9084674,"threshold_uncertainty_score":0.7495688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721135176212451,"score_gpt":0.3849252754061932,"score_spread":0.3577139236440687,"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."}}