{"id":"W132529797","doi":"10.3414/me0557","title":"Replacing an Inpatient Electronic Medical Record","year":2008,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Likert scale; Quality (philosophy); Scale (ratio); Medical record; Medicine; Patient satisfaction; Electronic medical record; Patient safety; Electronic health record; Family medicine; Medical education; Psychology; Nursing; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01787535,0.0001734741,0.0007100065,0.0006370887,0.0002860399,0.000001112267,0.0003268329,0.0003635684,0.001328483],"category_scores_gemma":[0.008081053,0.0001370286,0.00003677655,0.0007383208,0.0001471114,0.0006915078,0.00006070895,0.001487034,0.00006570607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953269,"about_ca_system_score_gemma":0.002105448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002842959,"about_ca_topic_score_gemma":0.0005345574,"domain_scores_codex":[0.9918784,0.003198379,0.003008367,0.0001797728,0.0008741436,0.0008609309],"domain_scores_gemma":[0.9963353,0.001480338,0.001012096,0.0005021024,0.0003564935,0.0003136325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007342609,0.0001836398,0.1709719,0.00330373,0.00005597837,0.00001111983,0.1212652,0.00006736562,0.0003503566,0.01612632,0.0225585,0.6643716],"study_design_scores_gemma":[0.01474969,0.006062906,0.05668292,0.005997901,0.0000402232,0.0002023475,0.02558114,0.03894021,0.0004813863,0.006348749,0.8440383,0.0008742081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6505439,0.000552609,0.2957148,0.005074709,0.002842046,0.002295945,0.000003487587,0.000217368,0.04275515],"genre_scores_gemma":[0.8330782,0.003100379,0.1474563,0.01301007,0.001405699,0.0008296516,0.0001883353,0.00006750214,0.0008638356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8214798,"threshold_uncertainty_score":0.9995844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10337974346078,"score_gpt":0.5398332151324169,"score_spread":0.4364534716716369,"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."}}