{"id":"W4417359311","doi":"10.2196/74942","title":"Developing a Best Practice Guideline for Clinical Practice in a Digital Health Environment: Systematic Reviews Based on the Grading of Recommendations, Assessment, Development, and Evaluation Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber River Regional Hospital; Registered Nurses' Association of Ontario","funders":"Hospital for Sick Children; Government of Ontario; Registered Nurses' Association of Ontario; University of South Carolina","keywords":"Best practice; Digital health; Guideline; Grading (engineering); Clinical Practice; Systematic review; Health care; MEDLINE","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.3139452,0.007275093,0.02180451,0.05228345,0.007446498,0.01984487,0.01699918,0.01484964,0.007348358],"category_scores_gemma":[0.5178022,0.007568622,0.04060201,0.03357175,0.008338124,0.01827048,0.01709249,0.01660333,0.003873829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03282226,"about_ca_system_score_gemma":0.1108624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02486615,"about_ca_topic_score_gemma":0.03670202,"domain_scores_codex":[0.5062336,0.227433,0.1936179,0.01599865,0.05223776,0.004479125],"domain_scores_gemma":[0.45871,0.2604275,0.08581227,0.01898443,0.1678437,0.008222044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0005645013,0.0002522791,0.00336844,0.667936,0.0154742,0.000357722,0.004623845,0.001731003,0.001015608,0.008673447,0.0639869,0.232016],"study_design_scores_gemma":[0.001771961,0.0003978274,0.002944573,0.8882319,0.01710696,0.0003439873,0.002047996,0.002721886,0.001103579,0.01294387,0.06984424,0.0005412261],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005212481,0.3734713,0.1716457,0.08972199,0.02021685,0.3089728,0.01462042,0.004205685,0.01193273],"genre_scores_gemma":[0.01717702,0.09061465,0.7244515,0.007709877,0.0008575836,0.1529678,0.004711583,0.0003675612,0.001142359],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3139452,"threshold_uncertainty_score":0.8460277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3201437884290165,"score_gpt":0.6191284960078342,"score_spread":0.2989847075788177,"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."}}