{"id":"W3015283621","doi":"10.1093/jamia/ocaa019","title":"A system uptake analysis and GUIDES checklist evaluation of the Electronic Asthma Management System: A point-of-care computerized clinical decision support system","year":2020,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Reseau canadien de recherche respiratoire","keywords":"Checklist; Clinical decision support system; Asthma; Point of care; Decision support system; Medicine; Point (geometry); Medical emergency; Computer science; Medical physics; Nursing; Data mining; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06023874,0.001228224,0.001465128,0.006842485,0.001765212,0.002231234,0.002769452,0.0008075071,0.001714197],"category_scores_gemma":[0.1358449,0.00085444,0.002491259,0.003890437,0.001003987,0.002409532,0.003252114,0.001067031,0.0005610938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008571765,"about_ca_system_score_gemma":0.02021661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03457244,"about_ca_topic_score_gemma":0.058017,"domain_scores_codex":[0.9158539,0.03333359,0.01602788,0.001981776,0.03111118,0.001691544],"domain_scores_gemma":[0.8039241,0.08074103,0.03051808,0.005640864,0.07591406,0.003261921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00127585,0.001889533,0.6247256,0.004229289,0.0005005204,0.0003472937,0.01065664,0.006977453,0.003285575,0.000837728,0.02288855,0.322386],"study_design_scores_gemma":[0.0004584531,0.006301569,0.9258805,0.001987896,0.0003432833,0.0004492635,0.006881884,0.0288673,0.006042077,0.0004066968,0.02209098,0.000290128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014735,0.0009186626,0.04532646,0.002498288,0.0001341077,0.02935958,0.006484516,0.002158378,0.01164651],"genre_scores_gemma":[0.7966484,0.0005822661,0.1748067,0.0004678432,0.00005464214,0.01975347,0.004658735,0.0001937969,0.002834163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06023874,"threshold_uncertainty_score":0.3185767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329098147602049,"score_gpt":0.4158053923726342,"score_spread":0.3828955776124293,"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."}}